diff --git a/pl/lm-evaluation-harness/temp/results.json b/pl/lm-evaluation-harness/temp/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e9ddd6713bfb203ecaed52c527bb35211e43019
--- /dev/null
+++ b/pl/lm-evaluation-harness/temp/results.json
@@ -0,0 +1,67 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.693,
+      "acc_stderr,none": 0.014593284892852627,
+      "acc_norm,none": 0.693,
+      "acc_norm_stderr,none": 0.014593284892852627,
+      "alias": "polish_cbd_multiple_choice"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "532aa2e6"
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out/results_APT3-1B-Base-0_belebele_pol_Latn/results.json b/pl/polish_benchmarks-out/results_APT3-1B-Base-0_belebele_pol_Latn/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..3c83891bec5986c48fe76c7d701ac7db04cf3ac8
--- /dev/null
+++ b/pl/polish_benchmarks-out/results_APT3-1B-Base-0_belebele_pol_Latn/results.json
@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.22111111111111112,
+      "acc_stderr,none": 0.013840863699859518,
+      "acc_norm,none": 0.22111111111111112,
+      "acc_norm_stderr,none": 0.013840863699859518,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out/results_APT3-1B-Base-5_belebele_pol_Latn/results.json b/pl/polish_benchmarks-out/results_APT3-1B-Base-5_belebele_pol_Latn/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..d7357414ba1c2c9bddac85e70ccf352f15610987
--- /dev/null
+++ b/pl/polish_benchmarks-out/results_APT3-1B-Base-5_belebele_pol_Latn/results.json
@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.25666666666666665,
+      "acc_stderr,none": 0.014567891342380032,
+      "acc_norm,none": 0.25666666666666665,
+      "acc_norm_stderr,none": 0.014567891342380032,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out/results_trurl-2-13b-academic_8bits-0_belebele_pol_Latn/results.json b/pl/polish_benchmarks-out/results_trurl-2-13b-academic_8bits-0_belebele_pol_Latn/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..b02cef2c1f642b67b6d140c40e7cf32fdbb5313e
--- /dev/null
+++ b/pl/polish_benchmarks-out/results_trurl-2-13b-academic_8bits-0_belebele_pol_Latn/results.json
@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.5033333333333333,
+      "acc_stderr,none": 0.01667556306870599,
+      "acc_norm,none": 0.5033333333333333,
+      "acc_norm_stderr,none": 0.01667556306870599,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-13b-academic",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out/results_trurl-2-13b-academic_8bits-5_belebele_pol_Latn/results.json b/pl/polish_benchmarks-out/results_trurl-2-13b-academic_8bits-5_belebele_pol_Latn/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..b1a0661bdfb2f20fed27284f82a403a37c5ad7e7
--- /dev/null
+++ b/pl/polish_benchmarks-out/results_trurl-2-13b-academic_8bits-5_belebele_pol_Latn/results.json
@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.6044444444444445,
+      "acc_stderr,none": 0.01630805222350177,
+      "acc_norm,none": 0.6044444444444445,
+      "acc_norm_stderr,none": 0.01630805222350177,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-13b-academic",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out/results_trurl-2-7b-0_belebele_pol_Latn/results.json b/pl/polish_benchmarks-out/results_trurl-2-7b-0_belebele_pol_Latn/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..e4e7435caa09988bf3a60e493de198cda6615585
--- /dev/null
+++ b/pl/polish_benchmarks-out/results_trurl-2-7b-0_belebele_pol_Latn/results.json
@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.39444444444444443,
+      "acc_stderr,none": 0.016300092627924964,
+      "acc_norm,none": 0.39444444444444443,
+      "acc_norm_stderr,none": 0.016300092627924964,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out/results_trurl-2-7b-5_belebele_pol_Latn/results.json b/pl/polish_benchmarks-out/results_trurl-2-7b-5_belebele_pol_Latn/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..f644e8f8ae46680b1712b278bddc3e0791019822
--- /dev/null
+++ b/pl/polish_benchmarks-out/results_trurl-2-7b-5_belebele_pol_Latn/results.json
@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.48,
+      "acc_stderr,none": 0.016662587561635363,
+      "acc_norm,none": 0.48,
+      "acc_norm_stderr,none": 0.016662587561635363,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out/results_zephyr-7b-alpha-0_belebele_pol_Latn/results.json b/pl/polish_benchmarks-out/results_zephyr-7b-alpha-0_belebele_pol_Latn/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..4cca07cb702992630d8b668be3effb5dbe81bf73
--- /dev/null
+++ b/pl/polish_benchmarks-out/results_zephyr-7b-alpha-0_belebele_pol_Latn/results.json
@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.43555555555555553,
+      "acc_stderr,none": 0.016536840376359642,
+      "acc_norm,none": 0.43555555555555553,
+      "acc_norm_stderr,none": 0.016536840376359642,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out/results_zephyr-7b-alpha-5_belebele_pol_Latn/results.json b/pl/polish_benchmarks-out/results_zephyr-7b-alpha-5_belebele_pol_Latn/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6f97c421ec9f0728de52101a05169bbdf3dc8a1
--- /dev/null
+++ b/pl/polish_benchmarks-out/results_zephyr-7b-alpha-5_belebele_pol_Latn/results.json
@@ -0,0 +1,74 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.6511111111111111,
+      "acc_stderr,none": 0.015896125275520714,
+      "acc_norm,none": 0.6511111111111111,
+      "acc_norm_stderr,none": 0.015896125275520714,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha",
+    "batch_size": "auto",
+    "batch_sizes": [
+      8
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out/results_zephyr-7b-beta-0_belebele_pol_Latn/results.json b/pl/polish_benchmarks-out/results_zephyr-7b-beta-0_belebele_pol_Latn/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..14c63467576ec7627e8ff528aee1c653fa16373e
--- /dev/null
+++ b/pl/polish_benchmarks-out/results_zephyr-7b-beta-0_belebele_pol_Latn/results.json
@@ -0,0 +1,74 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.4222222222222222,
+      "acc_stderr,none": 0.016472939933046615,
+      "acc_norm,none": 0.4222222222222222,
+      "acc_norm_stderr,none": 0.016472939933046615,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-beta",
+    "batch_size": "auto",
+    "batch_sizes": [
+      32
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out/results_zephyr-7b-beta-5_belebele_pol_Latn/results.json b/pl/polish_benchmarks-out/results_zephyr-7b-beta-5_belebele_pol_Latn/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..1bc3d41a03adb9cc97e2d26f611584707da060b6
--- /dev/null
+++ b/pl/polish_benchmarks-out/results_zephyr-7b-beta-5_belebele_pol_Latn/results.json
@@ -0,0 +1,74 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.6333333333333333,
+      "acc_stderr,none": 0.01607207840831028,
+      "acc_norm,none": 0.6333333333333333,
+      "acc_norm_stderr,none": 0.01607207840831028,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-beta",
+    "batch_size": "auto",
+    "batch_sizes": [
+      8
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e1-0_polish/results.json b/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e1-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..02013a19d7f0a3e383cd45d4dbc3d5238d63d210
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e1-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.30533563147712284,
+      "acc_stderr,none": 0.005139466962313564,
+      "acc_norm,none": 0.23045011951041258,
+      "acc_norm_stderr,none": 0.011131236790323795,
+      "exact_match,score-first": 0.06251491695427411,
+      "exact_match_stderr,score-first": 0.04026723037877803,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22666666666666666,
+      "acc_stderr,none": 0.013963598349030465,
+      "acc_norm,none": 0.22666666666666666,
+      "acc_norm_stderr,none": 0.013963598349030465,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.07894736842105263,
+      "exact_match_stderr,score-first": 0.01004253653910762,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.26869806094182824,
+      "acc_stderr,none": 0.016508704592015123,
+      "acc_norm,none": 0.22853185595567868,
+      "acc_norm_stderr,none": 0.01563740699730465,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.004048582995951417,
+      "exact_match_stderr,score-first": 0.0028598755883223618,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.34210526315789475,
+      "acc_stderr,none": 0.021366560862202868,
+      "acc_norm,none": 0.3724696356275304,
+      "acc_norm_stderr,none": 0.02177405671825141,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.287740164684355,
+      "acc_stderr,none": 0.00684745312851687,
+      "acc_norm,none": 0.13083257090576395,
+      "acc_norm_stderr,none": 0.005100576389030051,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.05695333943275389,
+      "exact_match_stderr,score-first": 0.003505385488315323,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.056666666666666664,
+      "exact_match_stderr,score-first": 0.00771110430808905,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.5306122448979592,
+      "acc_stderr,none": 0.015565316454386663,
+      "acc_norm,none": 0.5306122448979592,
+      "acc_norm_stderr,none": 0.015565316454386663,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.422,
+      "acc_stderr,none": 0.015625625112620667,
+      "acc_norm,none": 0.422,
+      "acc_norm_stderr,none": 0.015625625112620667,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3821892393320965,
+      "acc_stderr,none": 0.014806728396999735,
+      "acc_norm,none": 0.3821892393320965,
+      "acc_norm_stderr,none": 0.014806728396999735,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.19573283858998144,
+      "exact_match_stderr,score-first": 0.01208994051053487,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.30533563147712284,
+      "acc_stderr,none": 0.005139466962313564,
+      "acc_norm,none": 0.23045011951041258,
+      "acc_norm_stderr,none": 0.011131236790323795,
+      "exact_match,score-first": 0.06251491695427411,
+      "exact_match_stderr,score-first": 0.04026723037877803,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e1-5_polish/results.json b/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e1-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..b03f15df8c930af4585d7dc12128074e0d5840cd
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e1-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2995695333959389,
+      "acc_stderr,none": 0.02793102270530222,
+      "acc_norm,none": 0.26181843547121303,
+      "acc_norm_stderr,none": 0.0331192226110557,
+      "exact_match,score-first": 0.2855402402613798,
+      "exact_match_stderr,score-first": 0.17014706195076215,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22,
+      "acc_stderr,none": 0.013815887744596803,
+      "acc_norm,none": 0.22,
+      "acc_norm_stderr,none": 0.013815887744596803,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.2299168975069252,
+      "exact_match_stderr,score-first": 0.015670635531400696,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.31301939058171746,
+      "acc_stderr,none": 0.017269916107497767,
+      "acc_norm,none": 0.2146814404432133,
+      "acc_norm_stderr,none": 0.015291586600683917,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.3562753036437247,
+      "exact_match_stderr,score-first": 0.02156847728252059,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.33805668016194335,
+      "acc_stderr,none": 0.021305008084780325,
+      "acc_norm,none": 0.3299595141700405,
+      "acc_norm_stderr,none": 0.02117665642255094,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.1983074107959744,
+      "acc_stderr,none": 0.006030912164611869,
+      "acc_norm,none": 0.13746569075937787,
+      "acc_norm_stderr,none": 0.005208287454350561,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.12900274473924978,
+      "exact_match_stderr,score-first": 0.0050701109751773,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.27,
+      "exact_match_stderr,score-first": 0.014806876915962114,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8289601554907677,
+      "acc_stderr,none": 0.011744077740056324,
+      "acc_norm,none": 0.8289601554907677,
+      "acc_norm_stderr,none": 0.011744077740056324,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.8036929057337221,
+      "exact_match_stderr,score-first": 0.012388436737248482,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.359,
+      "acc_stderr,none": 0.015177264224798596,
+      "acc_norm,none": 0.359,
+      "acc_norm_stderr,none": 0.015177264224798596,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.421,
+      "exact_match_stderr,score-first": 0.015620595475301317,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6771799628942486,
+      "acc_stderr,none": 0.014247033304657502,
+      "acc_norm,none": 0.6771799628942486,
+      "acc_norm_stderr,none": 0.014247033304657502,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6781076066790352,
+      "exact_match_stderr,score-first": 0.01423628957934827,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2995695333959389,
+      "acc_stderr,none": 0.02793102270530222,
+      "acc_norm,none": 0.26181843547121303,
+      "acc_norm_stderr,none": 0.0331192226110557,
+      "exact_match,score-first": 0.2855402402613798,
+      "exact_match_stderr,score-first": 0.17014706195076215,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e2-0_polish/results.json b/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e2-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..e8ce1728b548f54e74134c4d79a9d855fefaa26b
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e2-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.3764177338567992,
+      "acc_stderr,none": 0.008624681811571087,
+      "acc_norm,none": 0.2600649135917133,
+      "acc_norm_stderr,none": 0.0179062234015382,
+      "exact_match,score-first": 0.09057769906782864,
+      "exact_match_stderr,score-first": 0.043599173145033025,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22555555555555556,
+      "acc_stderr,none": 0.013939334910458142,
+      "acc_norm,none": 0.22555555555555556,
+      "acc_norm_stderr,none": 0.013939334910458142,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.09695290858725762,
+      "exact_match_stderr,score-first": 0.011019654745613438,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.30055401662049863,
+      "acc_stderr,none": 0.01707539370960794,
+      "acc_norm,none": 0.23407202216066483,
+      "acc_norm_stderr,none": 0.015768888706671383,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.05668016194331984,
+      "exact_match_stderr,score-first": 0.01041409572782948,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.37044534412955465,
+      "acc_stderr,none": 0.02174980315792073,
+      "acc_norm,none": 0.37044534412955465,
+      "acc_norm_stderr,none": 0.021749803157920727,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.3986733760292772,
+      "acc_stderr,none": 0.007405824738251191,
+      "acc_norm,none": 0.16102470265324795,
+      "acc_norm_stderr,none": 0.0055594321792952865,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.10567246111619397,
+      "exact_match_stderr,score-first": 0.0046498485737524525,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.07,
+      "exact_match_stderr,score-first": 0.008509629433967584,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.6929057337220602,
+      "acc_stderr,none": 0.014387203089566317,
+      "acc_norm,none": 0.6929057337220602,
+      "acc_norm_stderr,none": 0.014387203089566317,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0029154518950437317,
+      "exact_match_stderr,score-first": 0.0016815987492253832,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.393,
+      "acc_stderr,none": 0.015452824654081496,
+      "acc_norm,none": 0.393,
+      "acc_norm_stderr,none": 0.015452824654081496,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.002,
+      "exact_match_stderr,score-first": 0.0014135055705578159,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.4935064935064935,
+      "acc_stderr,none": 0.015234405984314282,
+      "acc_norm,none": 0.4935064935064935,
+      "acc_norm_stderr,none": 0.015234405984314282,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.22448979591836735,
+      "exact_match_stderr,score-first": 0.012714058612202518,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.3764177338567992,
+      "acc_stderr,none": 0.008624681811571087,
+      "acc_norm,none": 0.2600649135917133,
+      "acc_norm_stderr,none": 0.0179062234015382,
+      "exact_match,score-first": 0.09057769906782864,
+      "exact_match_stderr,score-first": 0.043599173145033025,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e2",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e2-5_polish/results.json b/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e2-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..ec38ea6ab5a1963d3890ea01be12cad20c01f4fc
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_APT3-1B-Instruct-e2-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.31024878977878106,
+      "acc_stderr,none": 0.027980216827585686,
+      "acc_norm,none": 0.26879152578135684,
+      "acc_norm_stderr,none": 0.034246705086353024,
+      "exact_match,score-first": 0.30242251545043747,
+      "exact_match_stderr,score-first": 0.15362428559916144,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2788888888888889,
+      "acc_stderr,none": 0.014956736888683079,
+      "acc_norm,none": 0.2788888888888889,
+      "acc_norm_stderr,none": 0.014956736888683079,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.2880886426592798,
+      "exact_match_stderr,score-first": 0.016865856350741566,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.29916897506925205,
+      "acc_stderr,none": 0.01705286304111782,
+      "acc_norm,none": 0.2077562326869806,
+      "acc_norm_stderr,none": 0.01510910759802611,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.3340080971659919,
+      "exact_match_stderr,score-first": 0.02124171181612737,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.38461538461538464,
+      "acc_stderr,none": 0.02191104968830336,
+      "acc_norm,none": 0.340080971659919,
+      "acc_norm_stderr,none": 0.02133600145678249,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.18275388838060383,
+      "acc_stderr,none": 0.00584546872481264,
+      "acc_norm,none": 0.11665141811527904,
+      "acc_norm_stderr,none": 0.0048553513926815365,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.13060384263494967,
+      "exact_match_stderr,score-first": 0.0050967863903210765,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.2722222222222222,
+      "exact_match_stderr,score-first": 0.01484503879443395,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8241010689990281,
+      "acc_stderr,none": 0.011874772046703725,
+      "acc_norm,none": 0.8241010689990281,
+      "acc_norm_stderr,none": 0.011874772046703725,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.7570456754130224,
+      "exact_match_stderr,score-first": 0.01337601666202105,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.434,
+      "acc_stderr,none": 0.015680876566375054,
+      "acc_norm,none": 0.434,
+      "acc_norm_stderr,none": 0.015680876566375054,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.372,
+      "exact_match_stderr,score-first": 0.015292149942040577,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6836734693877551,
+      "acc_stderr,none": 0.01417047215182454,
+      "acc_norm,none": 0.6836734693877551,
+      "acc_norm_stderr,none": 0.01417047215182454,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6808905380333952,
+      "exact_match_stderr,score-first": 0.014203672130694803,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.31024878977878106,
+      "acc_stderr,none": 0.027980216827585686,
+      "acc_norm,none": 0.26879152578135684,
+      "acc_norm_stderr,none": 0.034246705086353024,
+      "exact_match,score-first": 0.30242251545043747,
+      "exact_match_stderr,score-first": 0.15362428559916144,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e2",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1-5_polish_generate/results.json b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..7508b2f9cb4a1781ac598155cfe834671c93063a
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1-5_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6642001042209484,
+      "exact_match_stderr,score-first": 0.11767931063786438,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.6966759002770083,
+      "exact_match_stderr,score-first": 0.017119899860129042,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6336032388663968,
+      "exact_match_stderr,score-first": 0.021700065645408235,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.7179780420860018,
+      "exact_match_stderr,score-first": 0.006806230292926995,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.7211111111111111,
+      "exact_match_stderr,score-first": 0.014956736888683079,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.8328474246841594,
+      "exact_match_stderr,score-first": 0.011637044694546985,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.538,
+      "exact_match_stderr,score-first": 0.015773547629015106,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.3469387755102041,
+      "exact_match_stderr,score-first": 0.014504258061361417,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6642001042209484,
+      "exact_match_stderr,score-first": 0.11767931063786438,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1-5_polish_mc/results.json b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1-5_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..699f8b991c9b4c2a30c80e96951f03cce1bed685
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1-5_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.718186555497655,
+      "acc_stderr,none": 0.04357151021998618,
+      "acc_norm,none": 0.7141219385096405,
+      "acc_norm_stderr,none": 0.04372608290602946,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.6855555555555556,
+      "acc_stderr,none": 0.015485079682471438,
+      "acc_norm,none": 0.6855555555555556,
+      "acc_norm_stderr,none": 0.015485079682471438,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7132963988919667,
+      "acc_stderr,none": 0.01684162361588182,
+      "acc_norm,none": 0.7174515235457064,
+      "acc_norm_stderr,none": 0.016767763260316662,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6902834008097166,
+      "acc_stderr,none": 0.02082439995830139,
+      "acc_norm,none": 0.7145748987854251,
+      "acc_norm_stderr,none": 0.020339791674885366,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.72483989021043,
+      "acc_stderr,none": 0.0067549692558673035,
+      "acc_norm,none": 0.7124885635864593,
+      "acc_norm_stderr,none": 0.006845829961519696,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8299319727891157,
+      "acc_stderr,none": 0.011717528745193611,
+      "acc_norm,none": 0.8299319727891157,
+      "acc_norm_stderr,none": 0.011717528745193611,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.624,
+      "acc_stderr,none": 0.015325105508898132,
+      "acc_norm,none": 0.624,
+      "acc_norm_stderr,none": 0.015325105508898132,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.7152133580705009,
+      "acc_stderr,none": 0.013752123513176048,
+      "acc_norm,none": 0.7152133580705009,
+      "acc_norm_stderr,none": 0.013752123513176048,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.718186555497655,
+      "acc_stderr,none": 0.04357151021998618,
+      "acc_norm,none": 0.7141219385096405,
+      "acc_norm_stderr,none": 0.04372608290602946,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp200-5_polish_generate/results.json b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp200-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3b6b2b3e416e1895d888442bb7efc439d6ed969
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp200-5_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6314747264200105,
+      "exact_match_stderr,score-first": 0.0707242079346716,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7880886426592798,
+      "exact_match_stderr,score-first": 0.015219382031425949,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6538461538461539,
+      "exact_match_stderr,score-first": 0.021426385174275118,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6790942360475755,
+      "exact_match_stderr,score-first": 0.007060953928205099,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5944444444444444,
+      "exact_match_stderr,score-first": 0.016375741266194007,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.5179786200194364,
+      "exact_match_stderr,score-first": 0.015584486987127225,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.479,
+      "exact_match_stderr,score-first": 0.015805341148131296,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6038961038961039,
+      "exact_match_stderr,score-first": 0.014903141306250456,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6314747264200105,
+      "exact_match_stderr,score-first": 0.0707242079346716,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp200-5_polish_mc/results.json b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp200-5_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..14ee1a98e4eaf244f5be5528a37bc27b29e17886
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp200-5_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.6312662845231891,
+      "acc_stderr,none": 0.10517768892126916,
+      "acc_norm,none": 0.6244919228764981,
+      "acc_norm_stderr,none": 0.10116067524418394,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.5466666666666666,
+      "acc_stderr,none": 0.016603141822512064,
+      "acc_norm,none": 0.5466666666666666,
+      "acc_norm_stderr,none": 0.016603141822512064,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7894736842105263,
+      "acc_stderr,none": 0.015182888122718783,
+      "acc_norm,none": 0.7617728531855956,
+      "acc_norm_stderr,none": 0.015865024177194348,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6842105263157895,
+      "acc_stderr,none": 0.02093486866820736,
+      "acc_norm,none": 0.7327935222672065,
+      "acc_norm_stderr,none": 0.019929244821849688,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7335315645013724,
+      "acc_stderr,none": 0.006687162643383958,
+      "acc_norm,none": 0.7177493138151876,
+      "acc_norm_stderr,none": 0.006807905096202593,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.4402332361516035,
+      "acc_stderr,none": 0.015482761027859615,
+      "acc_norm,none": 0.4402332361516035,
+      "acc_norm_stderr,none": 0.015482761027859615,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.461,
+      "acc_stderr,none": 0.015771104201283186,
+      "acc_norm,none": 0.461,
+      "acc_norm_stderr,none": 0.015771104201283186,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.4972170686456401,
+      "acc_stderr,none": 0.015235454889651216,
+      "acc_norm,none": 0.4972170686456401,
+      "acc_norm_stderr,none": 0.015235454889651216,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.6312662845231891,
+      "acc_stderr,none": 0.10517768892126916,
+      "acc_norm,none": 0.6244919228764981,
+      "acc_norm_stderr,none": 0.10116067524418394,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp400-5_polish_generate/results.json b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp400-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..d86cb77843c6dad4f2fd4f26f5b385379e7e6ab0
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp400-5_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6364773319437207,
+      "exact_match_stderr,score-first": 0.06182259997601216,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7631578947368421,
+      "exact_match_stderr,score-first": 0.01583321192224942,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6437246963562753,
+      "exact_match_stderr,score-first": 0.02156847728252059,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6612534309240622,
+      "exact_match_stderr,score-first": 0.007158648172303392,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.6055555555555555,
+      "exact_match_stderr,score-first": 0.016300092627924964,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.6073858114674441,
+      "exact_match_stderr,score-first": 0.015230661256517303,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.455,
+      "exact_match_stderr,score-first": 0.01575510149834709,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6697588126159555,
+      "exact_match_stderr,score-first": 0.014330686165019315,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6364773319437207,
+      "exact_match_stderr,score-first": 0.06182259997601216,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-400/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp400-5_polish_mc/results.json b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp400-5_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..4e5ccdc77608c989ef75da238032dbd162f80c7c
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp400-5_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.6686816050026055,
+      "acc_stderr,none": 0.0642513149668469,
+      "acc_norm,none": 0.6594059405940594,
+      "acc_norm_stderr,none": 0.060466983153738094,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.5255555555555556,
+      "acc_stderr,none": 0.016654137753608793,
+      "acc_norm,none": 0.5255555555555556,
+      "acc_norm_stderr,none": 0.016654137753608793,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.8213296398891967,
+      "acc_stderr,none": 0.014266497739018441,
+      "acc_norm,none": 0.7908587257617729,
+      "acc_norm_stderr,none": 0.015146130619525858,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6558704453441295,
+      "acc_stderr,none": 0.02139668816045485,
+      "acc_norm,none": 0.6821862348178138,
+      "acc_norm_stderr,none": 0.020970769565086225,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7047118023787741,
+      "acc_stderr,none": 0.006899830368155602,
+      "acc_norm,none": 0.6864135407136323,
+      "acc_norm_stderr,none": 0.007017479758060964,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7482993197278912,
+      "acc_stderr,none": 0.013535780793703692,
+      "acc_norm,none": 0.7482993197278912,
+      "acc_norm_stderr,none": 0.013535780793703692,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.524,
+      "acc_stderr,none": 0.015801065586651755,
+      "acc_norm,none": 0.524,
+      "acc_norm_stderr,none": 0.015801065586651755,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6038961038961039,
+      "acc_stderr,none": 0.01490314130625046,
+      "acc_norm,none": 0.6038961038961039,
+      "acc_norm_stderr,none": 0.01490314130625046,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.6686816050026055,
+      "acc_stderr,none": 0.0642513149668469,
+      "acc_norm,none": 0.6594059405940594,
+      "acc_norm_stderr,none": 0.060466983153738094,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-400/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp600-5_polish_generate/results.json b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp600-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..4b4b015c6c3f5c817872828692363f2fc4a5755f
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp600-5_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.5759249609171443,
+      "exact_match_stderr,score-first": 0.10324718697560364,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7617728531855956,
+      "exact_match_stderr,score-first": 0.01586502417719433,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6619433198380567,
+      "exact_match_stderr,score-first": 0.02130500808478033,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6338060384263495,
+      "exact_match_stderr,score-first": 0.007286909441339264,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5633333333333334,
+      "exact_match_stderr,score-first": 0.016541614656655053,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.28765792031098153,
+      "exact_match_stderr,score-first": 0.014118413935558783,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.458,
+      "exact_match_stderr,score-first": 0.015763390640483706,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.5723562152133581,
+      "exact_match_stderr,score-first": 0.015075316273392174,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.5759249609171443,
+      "exact_match_stderr,score-first": 0.10324718697560364,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-600/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp600-5_polish_mc/results.json b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp600-5_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..583c02d5050fd6e030b89ef744efc72cb87ce539
--- /dev/null
+++ b/pl/polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp600-5_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.6551328817092236,
+      "acc_stderr,none": 0.06798975937561243,
+      "acc_norm,none": 0.6501302761855133,
+      "acc_norm_stderr,none": 0.06581469456865614,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.53,
+      "acc_stderr,none": 0.01664588990480914,
+      "acc_norm,none": 0.53,
+      "acc_norm_stderr,none": 0.01664588990480914,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.778393351800554,
+      "acc_stderr,none": 0.01546761377296944,
+      "acc_norm,none": 0.7645429362880887,
+      "acc_norm_stderr,none": 0.015801167237739118,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6659919028340081,
+      "acc_stderr,none": 0.021241711816127367,
+      "acc_norm,none": 0.6862348178137652,
+      "acc_norm_stderr,none": 0.02089850837742652,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7053979871912168,
+      "acc_stderr,none": 0.0068951633560859794,
+      "acc_norm,none": 0.6944190301921317,
+      "acc_norm_stderr,none": 0.0069676055457865435,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7006802721088435,
+      "acc_stderr,none": 0.014283382238037845,
+      "acc_norm,none": 0.7006802721088435,
+      "acc_norm_stderr,none": 0.014283382238037845,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.479,
+      "acc_stderr,none": 0.015805341148131296,
+      "acc_norm,none": 0.479,
+      "acc_norm_stderr,none": 0.015805341148131296,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.588126159554731,
+      "acc_stderr,none": 0.014997176459791971,
+      "acc_norm,none": 0.588126159554731,
+      "acc_norm_stderr,none": 0.014997176459791971,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.6551328817092236,
+      "acc_stderr,none": 0.06798975937561243,
+      "acc_norm,none": 0.6501302761855133,
+      "acc_norm_stderr,none": 0.06581469456865614,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-600/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2000-0_polish/results.json b/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2000-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb9f1398b1ea5f906e6b64be20bebddc0c6c1a27
--- /dev/null
+++ b/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2000-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.5413241163615681,
+      "acc_stderr,none": 0.01084163176793659,
+      "acc_norm,none": 0.530481610196644,
+      "acc_norm_stderr,none": 0.008601325987021305,
+      "exact_match,score-first": 0.35592888097277775,
+      "exact_match_stderr,score-first": 0.08551675449050326,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3022222222222222,
+      "acc_stderr,none": 0.01531587871597198,
+      "acc_norm,none": 0.3022222222222222,
+      "acc_norm_stderr,none": 0.01531587871597198,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.3268698060941828,
+      "exact_match_stderr,score-first": 0.017469050736806633,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.649584487534626,
+      "acc_stderr,none": 0.017768135276145475,
+      "acc_norm,none": 0.4903047091412742,
+      "acc_norm_stderr,none": 0.018617472045761484,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.4716599190283401,
+      "exact_match_stderr,score-first": 0.022482665840761362,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.3441295546558704,
+      "acc_stderr,none": 0.02139668816045485,
+      "acc_norm,none": 0.48785425101214575,
+      "acc_norm_stderr,none": 0.022512222543699473,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6788655077767612,
+      "acc_stderr,none": 0.007062280219959377,
+      "acc_norm,none": 0.6710887465690759,
+      "acc_norm_stderr,none": 0.0071062247886994456,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.3369167429094236,
+      "exact_match_stderr,score-first": 0.007149158481943187,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.3622222222222222,
+      "exact_match_stderr,score-first": 0.01603032734626063,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.3556851311953353,
+      "acc_stderr,none": 0.014930878960690992,
+      "acc_norm,none": 0.3556851311953353,
+      "acc_norm_stderr,none": 0.014930878960690992,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.18658892128279883,
+      "exact_match_stderr,score-first": 0.012150703160439388,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.396,
+      "acc_stderr,none": 0.01547331326585941,
+      "acc_norm,none": 0.396,
+      "acc_norm_stderr,none": 0.01547331326585941,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.362,
+      "exact_match_stderr,score-first": 0.015204840912919501,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6567717996289425,
+      "acc_stderr,none": 0.014467412965736809,
+      "acc_norm,none": 0.6567717996289425,
+      "acc_norm_stderr,none": 0.014467412965736809,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6549165120593692,
+      "exact_match_stderr,score-first": 0.014485957542249024,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.5413241163615681,
+      "acc_stderr,none": 0.01084163176793659,
+      "acc_norm,none": 0.530481610196644,
+      "acc_norm_stderr,none": 0.008601325987021305,
+      "exact_match,score-first": 0.35592888097277775,
+      "exact_match_stderr,score-first": 0.08551675449050326,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2000/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2000-5_polish/results.json b/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2000-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..0a9fdda8d5b795759655fd3c51b9461d2e7695e0
--- /dev/null
+++ b/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2000-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.6244787172748504,
+      "acc_stderr,none": 0.007957885214651855,
+      "acc_norm,none": 0.6190519895959236,
+      "acc_norm_stderr,none": 0.007105848761469819,
+      "exact_match,score-first": 0.6531831123790377,
+      "exact_match_stderr,score-first": 0.10636173828524938,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.43,
+      "acc_stderr,none": 0.016511700775931788,
+      "acc_norm,none": 0.43,
+      "acc_norm_stderr,none": 0.016511700775931788,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7950138504155124,
+      "exact_match_stderr,score-first": 0.01503425713972699,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7548476454293629,
+      "acc_stderr,none": 0.016020647115740538,
+      "acc_norm,none": 0.6814404432132964,
+      "acc_norm_stderr,none": 0.017351684380922532,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6295546558704453,
+      "exact_match_stderr,score-first": 0.02174980315792073,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6497975708502024,
+      "acc_stderr,none": 0.021484495459914727,
+      "acc_norm,none": 0.645748987854251,
+      "acc_norm_stderr,none": 0.021540905590766254,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6749771271729186,
+      "acc_stderr,none": 0.00708453070961662,
+      "acc_norm,none": 0.6784080512351327,
+      "acc_norm_stderr,none": 0.007064926974077679,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5720494053064958,
+      "exact_match_stderr,score-first": 0.007483817410724092,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.46444444444444444,
+      "exact_match_stderr,score-first": 0.016633716862839924,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7978620019436345,
+      "acc_stderr,none": 0.012525391634647394,
+      "acc_norm,none": 0.7978620019436345,
+      "acc_norm_stderr,none": 0.012525391634647394,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.5393586005830904,
+      "exact_match_stderr,score-first": 0.015546181377068011,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.445,
+      "acc_stderr,none": 0.015723301886760938,
+      "acc_norm,none": 0.445,
+      "acc_norm_stderr,none": 0.015723301886760938,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.391,
+      "exact_match_stderr,score-first": 0.015438826294681782,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6743970315398887,
+      "acc_stderr,none": 0.014278880242336946,
+      "acc_norm,none": 0.6743970315398887,
+      "acc_norm_stderr,none": 0.014278880242336946,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6419294990723562,
+      "exact_match_stderr,score-first": 0.014608986476832899,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.6244787172748504,
+      "acc_stderr,none": 0.007957885214651855,
+      "acc_norm,none": 0.6190519895959236,
+      "acc_norm_stderr,none": 0.007105848761469819,
+      "exact_match,score-first": 0.6531831123790377,
+      "exact_match_stderr,score-first": 0.10636173828524938,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2000/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2200-0_polish/results.json b/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2200-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..d4a3051fceef7bc79005199050f9e2e873629ac8
--- /dev/null
+++ b/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2200-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.4721071717287744,
+      "acc_stderr,none": 0.010755498956589112,
+      "acc_norm,none": 0.4566671808932055,
+      "acc_norm_stderr,none": 0.0068765892337264035,
+      "exact_match,score-first": 0.5154242863020202,
+      "exact_match_stderr,score-first": 0.16365606748645156,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.30333333333333334,
+      "acc_stderr,none": 0.015331785641933972,
+      "acc_norm,none": 0.30333333333333334,
+      "acc_norm_stderr,none": 0.015331785641933972,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.6426592797783933,
+      "exact_match_stderr,score-first": 0.01784695026310191,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.2880886426592798,
+      "acc_stderr,none": 0.016865856350741566,
+      "acc_norm,none": 0.23822714681440443,
+      "acc_norm_stderr,none": 0.01586502417719433,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6174089068825911,
+      "exact_match_stderr,score-first": 0.021889226400747818,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.02631578947368421,
+      "acc_stderr,none": 0.007209311746493937,
+      "acc_norm,none": 0.2854251012145749,
+      "acc_norm_stderr,none": 0.02033979167488537,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.620768526989936,
+      "acc_stderr,none": 0.007338826630914385,
+      "acc_norm,none": 0.5681610247026533,
+      "acc_norm_stderr,none": 0.00749214603961998,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.4714089661482159,
+      "exact_match_stderr,score-first": 0.007550373089263302,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.3622222222222222,
+      "exact_match_stderr,score-first": 0.016030327346260632,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.3673469387755102,
+      "acc_stderr,none": 0.015035728051630332,
+      "acc_norm,none": 0.3673469387755102,
+      "acc_norm_stderr,none": 0.015035728051630332,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.1749271137026239,
+      "exact_match_stderr,score-first": 0.011848903583973948,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.475,
+      "acc_stderr,none": 0.015799513429996016,
+      "acc_norm,none": 0.475,
+      "acc_norm_stderr,none": 0.015799513429996016,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6948051948051948,
+      "acc_stderr,none": 0.014031763148103638,
+      "acc_norm,none": 0.6948051948051948,
+      "acc_norm_stderr,none": 0.014031763148103638,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6929499072356216,
+      "exact_match_stderr,score-first": 0.014055544850266423,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.4721071717287744,
+      "acc_stderr,none": 0.010755498956589112,
+      "acc_norm,none": 0.4566671808932055,
+      "acc_norm_stderr,none": 0.0068765892337264035,
+      "exact_match,score-first": 0.5154242863020202,
+      "exact_match_stderr,score-first": 0.16365606748645156,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2200-5_polish/results.json b/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2200-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..26330c70a7d40d17e5db44f04fa58180bf118624
--- /dev/null
+++ b/pl/polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2200-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.6053589419074686,
+      "acc_stderr,none": 0.00858516332911257,
+      "acc_norm,none": 0.5988944841086185,
+      "acc_norm_stderr,none": 0.007903150488458166,
+      "exact_match,score-first": 0.639276470277073,
+      "exact_match_stderr,score-first": 0.12203751850722994,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.39666666666666667,
+      "acc_stderr,none": 0.016315923768946142,
+      "acc_norm,none": 0.39666666666666667,
+      "acc_norm_stderr,none": 0.016315923768946142,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7839335180055401,
+      "exact_match_stderr,score-first": 0.015327300950997175,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.760387811634349,
+      "acc_stderr,none": 0.0158966053979867,
+      "acc_norm,none": 0.7146814404432132,
+      "acc_norm_stderr,none": 0.016817197752968662,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.611336032388664,
+      "exact_match_stderr,score-first": 0.021953495375745476,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.5668016194331984,
+      "acc_stderr,none": 0.022316983574495623,
+      "acc_norm,none": 0.5506072874493927,
+      "acc_norm_stderr,none": 0.02240322448797156,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6477584629460201,
+      "acc_stderr,none": 0.007224976326359538,
+      "acc_norm,none": 0.6447849954254345,
+      "acc_norm_stderr,none": 0.0072387355212667984,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5953796889295517,
+      "exact_match_stderr,score-first": 0.0074238714645552826,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.43555555555555553,
+      "exact_match_stderr,score-first": 0.016536840376359645,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8163265306122449,
+      "acc_stderr,none": 0.01207698739519081,
+      "acc_norm,none": 0.8163265306122449,
+      "acc_norm_stderr,none": 0.01207698739519081,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.34110787172011664,
+      "exact_match_stderr,score-first": 0.014786196488153141,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.49,
+      "acc_stderr,none": 0.0158161357527732,
+      "acc_norm,none": 0.49,
+      "acc_norm_stderr,none": 0.0158161357527732,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.417,
+      "exact_match_stderr,score-first": 0.015599819048769616,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6818181818181818,
+      "acc_stderr,none": 0.014192670397052843,
+      "acc_norm,none": 0.6818181818181818,
+      "acc_norm_stderr,none": 0.014192670397052843,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6048237476808905,
+      "exact_match_stderr,score-first": 0.014897108638787992,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.6053589419074686,
+      "acc_stderr,none": 0.00858516332911257,
+      "acc_norm,none": 0.5988944841086185,
+      "acc_norm_stderr,none": 0.007903150488458166,
+      "exact_match,score-first": 0.639276470277073,
+      "exact_match_stderr,score-first": 0.12203751850722994,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out13/results_Mistral-7B-v0.1-0_polish/results.json b/pl/polish_benchmarks-out13/results_Mistral-7B-v0.1-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bc19693b57eef7c0bd0d0893250e6a9b58d7852
--- /dev/null
+++ b/pl/polish_benchmarks-out13/results_Mistral-7B-v0.1-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.4343824081976938,
+      "acc_stderr,none": 0.009962623712715304,
+      "acc_norm,none": 0.4525485670942092,
+      "acc_norm_stderr,none": 0.005643694169180114,
+      "exact_match,score-first": 0.3294044653144906,
+      "exact_match_stderr,score-first": 0.10927504635268076,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3888888888888889,
+      "acc_stderr,none": 0.016258969321955842,
+      "acc_norm,none": 0.3888888888888889,
+      "acc_norm_stderr,none": 0.016258969321955842,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.2880886426592798,
+      "exact_match_stderr,score-first": 0.016865856350741566,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6842105263157895,
+      "acc_stderr,none": 0.017311155919553595,
+      "acc_norm,none": 0.5415512465373962,
+      "acc_norm_stderr,none": 0.018556563224686202,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.3117408906882591,
+      "exact_match_stderr,score-first": 0.020861686290680668,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6174089068825911,
+      "acc_stderr,none": 0.021889226400747818,
+      "acc_norm,none": 0.5020242914979757,
+      "acc_norm_stderr,none": 0.022518682901144425,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.3321134492223239,
+      "acc_stderr,none": 0.007123676308111656,
+      "acc_norm,none": 0.41285452881976215,
+      "acc_norm_stderr,none": 0.00744699360559585,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.4556267154620311,
+      "exact_match_stderr,score-first": 0.007532906710515956,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5155555555555555,
+      "exact_match_stderr,score-first": 0.016667861366977586,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.5957240038872692,
+      "acc_stderr,none": 0.015306114946219423,
+      "acc_norm,none": 0.5957240038872692,
+      "acc_norm_stderr,none": 0.015306114946219423,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.021379980563654033,
+      "exact_match_stderr,score-first": 0.004511429173283774,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.412,
+      "acc_stderr,none": 0.015572363292015093,
+      "acc_norm,none": 0.412,
+      "acc_norm_stderr,none": 0.015572363292015093,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.396,
+      "exact_match_stderr,score-first": 0.01547331326585941,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.686456400742115,
+      "acc_stderr,none": 0.014136685538524662,
+      "acc_norm,none": 0.686456400742115,
+      "acc_norm_stderr,none": 0.014136685538524662,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.10575139146567718,
+      "exact_match_stderr,score-first": 0.009370533769636572,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.4343824081976938,
+      "acc_stderr,none": 0.009962623712715304,
+      "acc_norm,none": 0.4525485670942092,
+      "acc_norm_stderr,none": 0.005643694169180114,
+      "exact_match,score-first": 0.3294044653144906,
+      "exact_match_stderr,score-first": 0.10927504635268076,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_4bit=True",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out13/results_Mistral-7B-v0.1-5_polish/results.json b/pl/polish_benchmarks-out13/results_Mistral-7B-v0.1-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4c1a1651c50e3b0282e0ae1e6ab0d341368b241
--- /dev/null
+++ b/pl/polish_benchmarks-out13/results_Mistral-7B-v0.1-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.681789464586842,
+      "acc_stderr,none": 0.0021807667148682464,
+      "acc_norm,none": 0.6829617521438363,
+      "acc_norm_stderr,none": 0.0022133515507959355,
+      "exact_match,score-first": 0.6745926465621607,
+      "exact_match_stderr,score-first": 0.07702933015086402,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.63,
+      "acc_stderr,none": 0.01610242521754215,
+      "acc_norm,none": 0.63,
+      "acc_norm_stderr,none": 0.01610242521754215,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7063711911357341,
+      "exact_match_stderr,score-first": 0.016960872466519703,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7077562326869806,
+      "acc_stderr,none": 0.016937404043351943,
+      "acc_norm,none": 0.7146814404432132,
+      "acc_norm_stderr,none": 0.016817197752968666,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6255060728744939,
+      "exact_match_stderr,score-first": 0.021797901981018202,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6619433198380567,
+      "acc_stderr,none": 0.021305008084780325,
+      "acc_norm,none": 0.6882591093117408,
+      "acc_norm_stderr,none": 0.02086168629068067,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6880146386093321,
+      "acc_stderr,none": 0.007007700697209871,
+      "acc_norm,none": 0.6861848124428179,
+      "acc_norm_stderr,none": 0.007018868833479085,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6882433668801464,
+      "exact_match_stderr,score-first": 0.007006295741006132,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.6855555555555556,
+      "exact_match_stderr,score-first": 0.015485079682471441,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8347910592808552,
+      "acc_stderr,none": 0.011582681398996698,
+      "acc_norm,none": 0.8347910592808552,
+      "acc_norm_stderr,none": 0.011582681398996698,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.8182701652089407,
+      "exact_match_stderr,score-first": 0.012027210635031366,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.594,
+      "acc_stderr,none": 0.015537226438634604,
+      "acc_norm,none": 0.594,
+      "acc_norm_stderr,none": 0.015537226438634604,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.534,
+      "exact_match_stderr,score-first": 0.015782683329937625,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.7115027829313544,
+      "acc_stderr,none": 0.013805472143575878,
+      "acc_norm,none": 0.7115027829313544,
+      "acc_norm_stderr,none": 0.013805472143575878,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.42393320964749537,
+      "exact_match_stderr,score-first": 0.015058346547608882,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.681789464586842,
+      "acc_stderr,none": 0.0021807667148682464,
+      "acc_norm,none": 0.6829617521438363,
+      "acc_norm_stderr,none": 0.0022133515507959355,
+      "exact_match,score-first": 0.6745926465621607,
+      "exact_match_stderr,score-first": 0.07702933015086402,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_4bit=True",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out14/results_Mistral-7B-v0.1-0_polish/results.json b/pl/polish_benchmarks-out14/results_Mistral-7B-v0.1-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..ed0775cced26525b457b65cf11eb7550e718c586
--- /dev/null
+++ b/pl/polish_benchmarks-out14/results_Mistral-7B-v0.1-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.36735172525836796,
+      "acc_stderr,none": 0.0038509677725416733,
+      "acc_norm,none": 0.4663147839437283,
+      "acc_norm_stderr,none": 0.0038461601230822184,
+      "exact_match,score-first": 0.3178566795480225,
+      "exact_match_stderr,score-first": 0.11809034149086765,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3933333333333333,
+      "acc_stderr,none": 0.016292044853162806,
+      "acc_norm,none": 0.3933333333333333,
+      "acc_norm_stderr,none": 0.016292044853162806,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.19806094182825484,
+      "exact_match_stderr,score-first": 0.014842343237320114,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6426592797783933,
+      "acc_stderr,none": 0.017846950263101943,
+      "acc_norm,none": 0.5581717451523546,
+      "acc_norm_stderr,none": 0.018494518739140306,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.20242914979757085,
+      "exact_match_stderr,score-first": 0.018096629806809615,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.5101214574898786,
+      "acc_stderr,none": 0.022514253141506547,
+      "acc_norm,none": 0.631578947368421,
+      "acc_norm_stderr,none": 0.021725139932578092,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.27950594693504116,
+      "acc_stderr,none": 0.006787663803150213,
+      "acc_norm,none": 0.4961116193961574,
+      "acc_norm_stderr,none": 0.007562518813342989,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5205855443732845,
+      "exact_match_stderr,score-first": 0.0075563351383856545,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5488888888888889,
+      "exact_match_stderr,score-first": 0.016596027123632052,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.3304178814382896,
+      "acc_stderr,none": 0.014670237249523797,
+      "acc_norm,none": 0.3304178814382896,
+      "acc_norm_stderr,none": 0.014670237249523797,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.06316812439261418,
+      "exact_match_stderr,score-first": 0.007587230238881371,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.394,
+      "acc_stderr,none": 0.015459721957493379,
+      "acc_norm,none": 0.394,
+      "acc_norm_stderr,none": 0.015459721957493379,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.378,
+      "exact_match_stderr,score-first": 0.015341165254026642,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.4202226345083488,
+      "acc_stderr,none": 0.015040507729236048,
+      "acc_norm,none": 0.4202226345083488,
+      "acc_norm_stderr,none": 0.015040507729236048,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.33302411873840443,
+      "exact_match_stderr,score-first": 0.014361012392990771,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.36735172525836796,
+      "acc_stderr,none": 0.0038509677725416733,
+      "acc_norm,none": 0.4663147839437283,
+      "acc_norm_stderr,none": 0.0038461601230822184,
+      "exact_match,score-first": 0.3178566795480225,
+      "exact_match_stderr,score-first": 0.11809034149086765,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "32",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out15/results_Mistral-7B-Instruct-v0.1-0_polish/results.json b/pl/polish_benchmarks-out15/results_Mistral-7B-Instruct-v0.1-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..7f02bd9098b0c69c86d9e2fae0eb736f7940a2ce
--- /dev/null
+++ b/pl/polish_benchmarks-out15/results_Mistral-7B-Instruct-v0.1-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.49398389283315836,
+      "acc_stderr,none": 0.012858915217951268,
+      "acc_norm,none": 0.46690518138156606,
+      "acc_norm_stderr,none": 0.009764315476783709,
+      "exact_match,score-first": 0.49718012068426903,
+      "exact_match_stderr,score-first": 0.05661357060141459,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3888888888888889,
+      "acc_stderr,none": 0.016258969321955846,
+      "acc_norm,none": 0.3888888888888889,
+      "acc_norm_stderr,none": 0.016258969321955846,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.49445983379501385,
+      "exact_match_stderr,score-first": 0.0186198299495111,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6426592797783933,
+      "acc_stderr,none": 0.017846950263101905,
+      "acc_norm,none": 0.5484764542936288,
+      "acc_norm_stderr,none": 0.018533249102656933,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.5060728744939271,
+      "exact_match_stderr,score-first": 0.02251720641142702,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6295546558704453,
+      "acc_stderr,none": 0.02174980315792073,
+      "acc_norm,none": 0.6153846153846154,
+      "acc_norm_stderr,none": 0.021911049688303364,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.576395242451967,
+      "acc_stderr,none": 0.007473950290939037,
+      "acc_norm,none": 0.5384263494967978,
+      "acc_norm_stderr,none": 0.007540380361885667,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5548947849954254,
+      "exact_match_stderr,score-first": 0.007517029588350812,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.43333333333333335,
+      "exact_match_stderr,score-first": 0.016527038403575993,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.16909620991253643,
+      "acc_stderr,none": 0.011690840877120627,
+      "acc_norm,none": 0.16909620991253643,
+      "acc_norm_stderr,none": 0.011690840877120627,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.47230320699708456,
+      "exact_match_stderr,score-first": 0.015570627580366102,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.411,
+      "acc_stderr,none": 0.015566673418599271,
+      "acc_norm,none": 0.411,
+      "acc_norm_stderr,none": 0.015566673418599271,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.517,
+      "exact_match_stderr,score-first": 0.015810153729833427,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3042671614100185,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.3042671614100185,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.2894248608534323,
+      "exact_match_stderr,score-first": 0.013818632569955733,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.49398389283315836,
+      "acc_stderr,none": 0.012858915217951268,
+      "acc_norm,none": 0.46690518138156606,
+      "acc_norm_stderr,none": 0.009764315476783709,
+      "exact_match,score-first": 0.49718012068426903,
+      "exact_match_stderr,score-first": 0.05661357060141459,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-Instruct-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out15/results_Mistral-7B-Instruct-v0.1-5_polish/results.json b/pl/polish_benchmarks-out15/results_Mistral-7B-Instruct-v0.1-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..2e723bdf1e02b8fa453b6ac22b2f09aa50b36c76
--- /dev/null
+++ b/pl/polish_benchmarks-out15/results_Mistral-7B-Instruct-v0.1-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.6462052618292959,
+      "acc_stderr,none": 0.0015615769015835921,
+      "acc_norm,none": 0.6389874814590853,
+      "acc_norm_stderr,none": 0.001474434059209013,
+      "exact_match,score-first": 0.6367861534741802,
+      "exact_match_stderr,score-first": 0.06797895137677959,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.56,
+      "acc_stderr,none": 0.016555431546228898,
+      "acc_norm,none": 0.56,
+      "acc_norm_stderr,none": 0.016555431546228898,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.6371191135734072,
+      "exact_match_stderr,score-first": 0.017907078257599084,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6454293628808865,
+      "acc_stderr,none": 0.017815914141239345,
+      "acc_norm,none": 0.6121883656509696,
+      "acc_norm_stderr,none": 0.018146184424594067,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.631578947368421,
+      "exact_match_stderr,score-first": 0.021725139932578096,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6396761133603239,
+      "acc_stderr,none": 0.021622361995133323,
+      "acc_norm,none": 0.631578947368421,
+      "acc_norm_stderr,none": 0.021725139932578092,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6825251601097896,
+      "acc_stderr,none": 0.0070408255818903516,
+      "acc_norm,none": 0.67451967063129,
+      "acc_norm_stderr,none": 0.007087111733661532,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6690301921317475,
+      "exact_match_stderr,score-first": 0.007117486371656686,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5166666666666667,
+      "exact_match_stderr,score-first": 0.016666666666666774,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7482993197278912,
+      "acc_stderr,none": 0.01353578079370368,
+      "acc_norm,none": 0.7482993197278912,
+      "acc_norm_stderr,none": 0.01353578079370368,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.7978620019436345,
+      "exact_match_stderr,score-first": 0.012525391634647394,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.609,
+      "acc_stderr,none": 0.015438826294681787,
+      "acc_norm,none": 0.609,
+      "acc_norm_stderr,none": 0.015438826294681787,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.637,
+      "exact_match_stderr,score-first": 0.015213890444671288,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5974025974025974,
+      "acc_stderr,none": 0.014943804796035598,
+      "acc_norm,none": 0.5974025974025974,
+      "acc_norm_stderr,none": 0.014943804796035598,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.43042671614100186,
+      "exact_match_stderr,score-first": 0.015087474995477622,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.6462052618292959,
+      "acc_stderr,none": 0.0015615769015835921,
+      "acc_norm,none": 0.6389874814590853,
+      "acc_norm_stderr,none": 0.001474434059209013,
+      "exact_match,score-first": 0.6367861534741802,
+      "exact_match_stderr,score-first": 0.06797895137677959,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-Instruct-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out15/results_phi-2-0_polish/results.json b/pl/polish_benchmarks-out15/results_phi-2-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..314f3fb9e8046cff3d4614aed9f4378f0e11f9c6
--- /dev/null
+++ b/pl/polish_benchmarks-out15/results_phi-2-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.27007257007836166,
+      "acc_stderr,none": 0.03582238048710471,
+      "acc_norm,none": 0.285109793494696,
+      "acc_norm_stderr,none": 0.03337929811581892,
+      "exact_match,score-first": 0.11447466303954626,
+      "exact_match_stderr,score-first": 0.0650463530525679,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2788888888888889,
+      "acc_stderr,none": 0.014956736888683079,
+      "acc_norm,none": 0.2788888888888889,
+      "acc_norm_stderr,none": 0.014956736888683079,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.16204986149584488,
+      "exact_match_stderr,score-first": 0.013723528490778158,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16204986149584488,
+      "acc_stderr,none": 0.013723528490778158,
+      "acc_norm,none": 0.16066481994459833,
+      "acc_norm_stderr,none": 0.01367604360268079,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0020242914979757085,
+      "exact_match_stderr,score-first": 0.0020242914979757094,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.0020242914979757085,
+      "acc_stderr,none": 0.0020242914979757094,
+      "acc_norm,none": 0.01417004048582996,
+      "acc_norm_stderr,none": 0.0053230812117738635,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.16628545288197621,
+      "acc_stderr,none": 0.005631776551377185,
+      "acc_norm,none": 0.19762122598353157,
+      "acc_norm_stderr,none": 0.006023044988006115,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.12580054894784995,
+      "exact_match_stderr,score-first": 0.005015983850697009,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.23444444444444446,
+      "exact_match_stderr,score-first": 0.01412955496811077,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8299319727891157,
+      "acc_stderr,none": 0.011717528745193611,
+      "acc_norm,none": 0.8299319727891157,
+      "acc_norm_stderr,none": 0.011717528745193611,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577795,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577795,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.27007257007836166,
+      "acc_stderr,none": 0.03582238048710471,
+      "acc_norm,none": 0.285109793494696,
+      "acc_norm_stderr,none": 0.03337929811581892,
+      "exact_match,score-first": 0.11447466303954626,
+      "exact_match_stderr,score-first": 0.0650463530525679,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=microsoft/phi-2",
+    "batch_size": "8",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out15/results_phi-2-5_polish/results.json b/pl/polish_benchmarks-out15/results_phi-2-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..8aac59c867836dc03bb36c9b4f1fb37a16cd1bb1
--- /dev/null
+++ b/pl/polish_benchmarks-out15/results_phi-2-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.3691258686580846,
+      "acc_stderr,none": 0.018175209512165027,
+      "acc_norm,none": 0.3731501947501108,
+      "acc_norm_stderr,none": 0.017798235118430115,
+      "exact_match,score-first": 0.31161270116954054,
+      "exact_match_stderr,score-first": 0.08765716963110161,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3188888888888889,
+      "acc_stderr,none": 0.015543500457982978,
+      "acc_norm,none": 0.3188888888888889,
+      "acc_norm_stderr,none": 0.015543500457982978,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.3047091412742382,
+      "exact_match_stderr,score-first": 0.017141876783613008,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.25761772853185594,
+      "acc_stderr,none": 0.01628673526099632,
+      "acc_norm,none": 0.25069252077562326,
+      "acc_norm_stderr,none": 0.016141098584878066,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.23684210526315788,
+      "exact_match_stderr,score-first": 0.019147549344973702,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.26720647773279355,
+      "acc_stderr,none": 0.01992924482184967,
+      "acc_norm,none": 0.2894736842105263,
+      "acc_norm_stderr,none": 0.02042542813065894,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.3266239707227813,
+      "acc_stderr,none": 0.0070935306571683265,
+      "acc_norm,none": 0.33417200365965233,
+      "acc_norm_stderr,none": 0.007134698974088815,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.2584629460201281,
+      "exact_match_stderr,score-first": 0.00662178644480435,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.30444444444444446,
+      "exact_match_stderr,score-first": 0.01534758660383228,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8172983479105929,
+      "acc_stderr,none": 0.012052162826921252,
+      "acc_norm,none": 0.8172983479105929,
+      "acc_norm_stderr,none": 0.012052162826921252,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.6530612244897959,
+      "exact_match_stderr,score-first": 0.014845909626683668,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.361,
+      "acc_stderr,none": 0.015195720118175129,
+      "acc_norm,none": 0.361,
+      "acc_norm_stderr,none": 0.015195720118175129,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.294,
+      "exact_match_stderr,score-first": 0.014414290540008206,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6595547309833024,
+      "acc_stderr,none": 0.014439136432948205,
+      "acc_norm,none": 0.6595547309833024,
+      "acc_norm_stderr,none": 0.014439136432948205,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.3942486085343228,
+      "exact_match_stderr,score-first": 0.014891019870970914,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.3691258686580846,
+      "acc_stderr,none": 0.018175209512165027,
+      "acc_norm,none": 0.3731501947501108,
+      "acc_norm_stderr,none": 0.017798235118430115,
+      "exact_match,score-first": 0.31161270116954054,
+      "exact_match_stderr,score-first": 0.08765716963110161,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=microsoft/phi-2",
+    "batch_size": "8",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out15/results_plt5-large-0_polish/results.json b/pl/polish_benchmarks-out15/results_plt5-large-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..a40dbca4958702fb0a47b8c2466acb8ad4796b69
--- /dev/null
+++ b/pl/polish_benchmarks-out15/results_plt5-large-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.27715148073174195,
+      "acc_stderr,none": 0.03330027976782747,
+      "acc_norm,none": 0.2563417704118359,
+      "acc_norm_stderr,none": 0.03668364767449961,
+      "exact_match,score-first": 0.0010576844399036573,
+      "exact_match_stderr,score-first": 0.0012246701124591967,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2788888888888889,
+      "acc_stderr,none": 0.014956736888683087,
+      "acc_norm,none": 0.2788888888888889,
+      "acc_norm_stderr,none": 0.014956736888683087,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.203601108033241,
+      "acc_stderr,none": 0.01499642568791465,
+      "acc_norm,none": 0.14958448753462603,
+      "acc_norm_stderr,none": 0.013282848932398793,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0020242914979757085,
+      "exact_match_stderr,score-first": 0.0020242914979757155,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.36639676113360325,
+      "acc_stderr,none": 0.021700065645408242,
+      "acc_norm,none": 0.32793522267206476,
+      "acc_norm_stderr,none": 0.021143463996780142,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.13472095150960658,
+      "acc_stderr,none": 0.005164226257415815,
+      "acc_norm,none": 0.10498627630375114,
+      "acc_norm_stderr,none": 0.004636504762297018,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.0029734675205855443,
+      "exact_match_stderr,score-first": 0.0008235586900281045,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8309037900874635,
+      "acc_stderr,none": 0.011690840877120627,
+      "acc_norm,none": 0.8309037900874635,
+      "acc_norm_stderr,none": 0.011690840877120627,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.397,
+      "acc_stderr,none": 0.015480007449307984,
+      "acc_norm,none": 0.397,
+      "acc_norm_stderr,none": 0.015480007449307984,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.001,
+      "exact_match_stderr,score-first": 0.0010000000000000015,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.27715148073174195,
+      "acc_stderr,none": 0.03330027976782747,
+      "acc_norm,none": 0.2563417704118359,
+      "acc_norm_stderr,none": 0.03668364767449961,
+      "exact_match,score-first": 0.0010576844399036573,
+      "exact_match_stderr,score-first": 0.0012246701124591967,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=allegro/plt5-large",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out15/results_plt5-large-5_polish/results.json b/pl/polish_benchmarks-out15/results_plt5-large-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..0fe29c5799aab3114c15e0a611a5f6d1432a6be1
--- /dev/null
+++ b/pl/polish_benchmarks-out15/results_plt5-large-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.27199468499631047,
+      "acc_stderr,none": 0.033784906809331355,
+      "acc_norm,none": 0.25512605070649047,
+      "acc_norm_stderr,none": 0.036788778161595106,
+      "exact_match,score-first": 0.0007225007392369538,
+      "exact_match_stderr,score-first": 0.0011188492270730265,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2733333333333333,
+      "acc_stderr,none": 0.01486394440941748,
+      "acc_norm,none": 0.2733333333333333,
+      "acc_norm_stderr,none": 0.01486394440941748,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.18282548476454294,
+      "acc_stderr,none": 0.014394883071700351,
+      "acc_norm,none": 0.14958448753462603,
+      "acc_norm_stderr,none": 0.013282848932398793,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.32793522267206476,
+      "acc_stderr,none": 0.021143463996780142,
+      "acc_norm,none": 0.32793522267206476,
+      "acc_norm_stderr,none": 0.021143463996780142,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.13472095150960658,
+      "acc_stderr,none": 0.005164226257415815,
+      "acc_norm,none": 0.10498627630375114,
+      "acc_norm_stderr,none": 0.004636504762297021,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.0013723696248856359,
+      "exact_match_stderr,score-first": 0.0005599470156852725,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8309037900874635,
+      "acc_stderr,none": 0.011690840877120627,
+      "acc_norm,none": 0.8309037900874635,
+      "acc_norm_stderr,none": 0.011690840877120627,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.001943634596695821,
+      "exact_match_stderr,score-first": 0.0013736885791548168,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.396,
+      "acc_stderr,none": 0.01547331326585941,
+      "acc_norm,none": 0.396,
+      "acc_norm_stderr,none": 0.01547331326585941,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.004,
+      "exact_match_stderr,score-first": 0.0019969947390987295,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.27199468499631047,
+      "acc_stderr,none": 0.033784906809331355,
+      "acc_norm,none": 0.25512605070649047,
+      "acc_norm_stderr,none": 0.036788778161595106,
+      "exact_match,score-first": 0.0007225007392369538,
+      "exact_match_stderr,score-first": 0.0011188492270730265,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=allegro/plt5-large",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out15/results_polish-gpt2-xl-0_polish/results.json b/pl/polish_benchmarks-out15/results_polish-gpt2-xl-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..03cfd1b158655a89988db947fe6c970d3f6bbcc7
--- /dev/null
+++ b/pl/polish_benchmarks-out15/results_polish-gpt2-xl-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.23191934194661715,
+      "acc_stderr,none": 0.017886442846475455,
+      "acc_norm,none": 0.2609556062133738,
+      "acc_norm_stderr,none": 0.014228167702518467,
+      "exact_match,score-first": 0.0017391614971304186,
+      "exact_match_stderr,score-first": 0.002440262666720261,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.21666666666666667,
+      "acc_stderr,none": 0.013740087830700175,
+      "acc_norm,none": 0.21666666666666667,
+      "acc_norm_stderr,none": 0.013740087830700175,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16204986149584488,
+      "acc_stderr,none": 0.013723528490778158,
+      "acc_norm,none": 0.16066481994459833,
+      "acc_norm_stderr,none": 0.013676043602680779,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.004048582995951417,
+      "acc_stderr,none": 0.0028598755883223574,
+      "acc_norm,none": 0.08704453441295547,
+      "acc_norm_stderr,none": 0.012696151326390646,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.17108874656907594,
+      "acc_stderr,none": 0.005696057135228034,
+      "acc_norm,none": 0.22461116193961575,
+      "acc_norm_stderr,none": 0.00631226228845873,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.0034309240622140895,
+      "exact_match_stderr,score-first": 0.0008844409715419932,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.01,
+      "exact_match_stderr,score-first": 0.0033184688965809087,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.6598639455782312,
+      "acc_stderr,none": 0.014776003225079232,
+      "acc_norm,none": 0.6598639455782312,
+      "acc_norm_stderr,none": 0.014776003225079232,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577794,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577794,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.41836734693877553,
+      "acc_stderr,none": 0.015031261449258846,
+      "acc_norm,none": 0.41836734693877553,
+      "acc_norm_stderr,none": 0.015031261449258846,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0037105751391465678,
+      "exact_match_stderr,score-first": 0.001852701801669208,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.23191934194661715,
+      "acc_stderr,none": 0.017886442846475455,
+      "acc_norm,none": 0.2609556062133738,
+      "acc_norm_stderr,none": 0.014228167702518467,
+      "exact_match,score-first": 0.0017391614971304186,
+      "exact_match_stderr,score-first": 0.002440262666720261,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=sdadas/polish-gpt2-xl",
+    "batch_size": "8",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out15/results_polish-gpt2-xl-5_polish/results.json b/pl/polish_benchmarks-out15/results_polish-gpt2-xl-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..2d0b298b3f9f40ad119ebf0db883b0dd6b549ed2
--- /dev/null
+++ b/pl/polish_benchmarks-out15/results_polish-gpt2-xl-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.25193855283943917,
+      "acc_stderr,none": 0.02184871540454155,
+      "acc_norm,none": 0.24514543827432092,
+      "acc_norm_stderr,none": 0.022718727658377173,
+      "exact_match,score-first": 0.047392714266956536,
+      "exact_match_stderr,score-first": 0.023745830856935577,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22777777777777777,
+      "acc_stderr,none": 0.013987721523687937,
+      "acc_norm,none": 0.22777777777777777,
+      "acc_norm_stderr,none": 0.013987721523687937,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.037396121883656507,
+      "exact_match_stderr,score-first": 0.007065932013355643,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.23684210526315788,
+      "acc_stderr,none": 0.01583321192224944,
+      "acc_norm,none": 0.2299168975069252,
+      "acc_norm_stderr,none": 0.0156706355314007,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.032388663967611336,
+      "exact_match_stderr,score-first": 0.007973032439158353,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.19230769230769232,
+      "acc_stderr,none": 0.017749978932478032,
+      "acc_norm,none": 0.22064777327935223,
+      "acc_norm_stderr,none": 0.018676401648930148,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.1537053979871912,
+      "acc_stderr,none": 0.005455253568185525,
+      "acc_norm,none": 0.1372369624885636,
+      "acc_norm_stderr,none": 0.0052046425832142406,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.045516925892040254,
+      "exact_match_stderr,score-first": 0.0031526820496949807,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.11777777777777777,
+      "exact_match_stderr,score-first": 0.010750801136276045,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7619047619047619,
+      "acc_stderr,none": 0.013284008396468271,
+      "acc_norm,none": 0.7619047619047619,
+      "acc_norm_stderr,none": 0.013284008396468271,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.007774538386783284,
+      "exact_match_stderr,score-first": 0.0027393399577880506,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.398,
+      "acc_stderr,none": 0.015486634102858925,
+      "acc_norm,none": 0.398,
+      "acc_norm_stderr,none": 0.015486634102858925,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.09,
+      "exact_match_stderr,score-first": 0.009054390204866437,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.47866419294990725,
+      "acc_stderr,none": 0.015221813482588829,
+      "acc_norm,none": 0.47866419294990725,
+      "acc_norm_stderr,none": 0.015221813482588829,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.08070500927643785,
+      "exact_match_stderr,score-first": 0.008299842306683255,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.25193855283943917,
+      "acc_stderr,none": 0.02184871540454155,
+      "acc_norm,none": 0.24514543827432092,
+      "acc_norm_stderr,none": 0.022718727658377173,
+      "exact_match,score-first": 0.047392714266956536,
+      "exact_match_stderr,score-first": 0.023745830856935577,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=sdadas/polish-gpt2-xl",
+    "batch_size": "8",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-0_polish_generate/results.json b/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-0_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..2d0a20a28c9e064db671d9261d14e6010cc91ffc
--- /dev/null
+++ b/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-0_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.4016675351745701,
+      "exact_match_stderr,score-first": 0.11168933768467093,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.20221606648199447,
+      "exact_match_stderr,score-first": 0.014958320686196893,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.20242914979757085,
+      "exact_match_stderr,score-first": 0.018096629806809615,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5233302836230558,
+      "exact_match_stderr,score-first": 0.007554510181529444,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5522222222222222,
+      "exact_match_stderr,score-first": 0.01658472834066539,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.06997084548104957,
+      "exact_match_stderr,score-first": 0.007956284148707688,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.376,
+      "exact_match_stderr,score-first": 0.015325105508898125,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.34786641929499074,
+      "exact_match_stderr,score-first": 0.014513317088383356,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.4016675351745701,
+      "exact_match_stderr,score-first": 0.11168933768467093,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 0,
+    "polemo2_out": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_regex": 0,
+    "polish_generate": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-0_polish_mc/results.json b/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-0_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..9ccf2f584ee0666bdee260a113755e911f85cbfa
--- /dev/null
+++ b/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-0_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.36227201667535175,
+      "acc_stderr,none": 0.04717067548681556,
+      "acc_norm,none": 0.4584679520583637,
+      "acc_norm_stderr,none": 0.05699426545309856,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3844444444444444,
+      "acc_stderr,none": 0.016224472156351456,
+      "acc_norm,none": 0.3844444444444444,
+      "acc_norm_stderr,none": 0.016224472156351456,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6398891966759003,
+      "acc_stderr,none": 0.017877337200271817,
+      "acc_norm,none": 0.5512465373961218,
+      "acc_norm_stderr,none": 0.018522909771808996,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.4979757085020243,
+      "acc_stderr,none": 0.022518682901144425,
+      "acc_norm,none": 0.6153846153846154,
+      "acc_norm_stderr,none": 0.021911049688303364,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.27973467520585543,
+      "acc_stderr,none": 0.0067893625784577,
+      "acc_norm,none": 0.4922232387923147,
+      "acc_norm_stderr,none": 0.00756183269153676,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.34207968901846453,
+      "acc_stderr,none": 0.014796320639090105,
+      "acc_norm,none": 0.34207968901846453,
+      "acc_norm_stderr,none": 0.014796320639090105,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.399,
+      "acc_stderr,none": 0.015493193313162908,
+      "acc_norm,none": 0.399,
+      "acc_norm_stderr,none": 0.015493193313162908,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.4155844155844156,
+      "acc_stderr,none": 0.015016982312043996,
+      "acc_norm,none": 0.4155844155844156,
+      "acc_norm_stderr,none": 0.015016982312043996,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.36227201667535175,
+      "acc_stderr,none": 0.04717067548681556,
+      "acc_norm,none": 0.4584679520583637,
+      "acc_norm_stderr,none": 0.05699426545309856,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-5_polish_generate/results.json b/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..5d5e0029e89a9586a0520ce5866eae037e7d4361
--- /dev/null
+++ b/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-5_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6606565919749869,
+      "exact_match_stderr,score-first": 0.11832049608428108,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.6883656509695291,
+      "exact_match_stderr,score-first": 0.017249027853964156,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.631578947368421,
+      "exact_match_stderr,score-first": 0.021725139932578096,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.7166056724611162,
+      "exact_match_stderr,score-first": 0.006816246600645744,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.7088888888888889,
+      "exact_match_stderr,score-first": 0.015150906906440088,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.8318756073858115,
+      "exact_match_stderr,score-first": 0.01166401318259015,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.535,
+      "exact_match_stderr,score-first": 0.01578049505003016,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.34137291280148424,
+      "exact_match_stderr,score-first": 0.014448623392094184,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6606565919749869,
+      "exact_match_stderr,score-first": 0.11832049608428108,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-5_polish_mc/results.json b/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-5_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..9d7cda371a34611795fd2b66081fb91f2d36485e
--- /dev/null
+++ b/pl/polish_benchmarks-out16/results_Mistral-7B-v0.1-5_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.7136008337675873,
+      "acc_stderr,none": 0.04667902460946271,
+      "acc_norm,none": 0.7102657634184472,
+      "acc_norm_stderr,none": 0.04676619055581406,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.6766666666666666,
+      "acc_stderr,none": 0.015600294087844734,
+      "acc_norm,none": 0.6766666666666666,
+      "acc_norm_stderr,none": 0.015600294087844734,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7188365650969529,
+      "acc_stderr,none": 0.01674275290990633,
+      "acc_norm,none": 0.7202216066481995,
+      "acc_norm_stderr,none": 0.016717545989724802,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6862348178137652,
+      "acc_stderr,none": 0.020898508377426517,
+      "acc_norm,none": 0.7024291497975709,
+      "acc_norm_stderr,none": 0.02059078937593709,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7188929551692589,
+      "acc_stderr,none": 0.006799509351827805,
+      "acc_norm,none": 0.7095150960658737,
+      "acc_norm_stderr,none": 0.006866765250193195,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8357628765792031,
+      "acc_stderr,none": 0.011555284585816245,
+      "acc_norm,none": 0.8357628765792031,
+      "acc_norm_stderr,none": 0.011555284585816245,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.615,
+      "acc_stderr,none": 0.015395194445410808,
+      "acc_norm,none": 0.615,
+      "acc_norm_stderr,none": 0.015395194445410808,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.7068645640074211,
+      "acc_stderr,none": 0.013870573387180219,
+      "acc_norm,none": 0.7068645640074211,
+      "acc_norm_stderr,none": 0.013870573387180219,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.7136008337675873,
+      "acc_stderr,none": 0.04667902460946271,
+      "acc_norm,none": 0.7102657634184472,
+      "acc_norm_stderr,none": 0.04676619055581406,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-0_polish/results.json b/pl/polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..5f38fa8b5800d4fd8752c828a77f6a8f5cf308fd
--- /dev/null
+++ b/pl/polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.5150426314064328,
+      "acc_stderr,none": 0.02084925895237145,
+      "acc_norm,none": 0.51034687546702,
+      "acc_norm_stderr,none": 0.01981008430231029,
+      "exact_match,score-first": 0.20640208219447245,
+      "exact_match_stderr,score-first": 0.16605823463539698,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3188888888888889,
+      "acc_stderr,none": 0.015543500457982978,
+      "acc_norm,none": 0.3188888888888889,
+      "acc_norm_stderr,none": 0.015543500457982978,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.8088642659279779,
+      "acc_stderr,none": 0.014643373399304915,
+      "acc_norm,none": 0.721606648199446,
+      "acc_norm_stderr,none": 0.01669214160924836,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.5890688259109311,
+      "acc_stderr,none": 0.02215869118042188,
+      "acc_norm,none": 0.7064777327935222,
+      "acc_norm_stderr,none": 0.020509085992218148,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6301463860933212,
+      "acc_stderr,none": 0.007302057610105687,
+      "acc_norm,none": 0.62419945105215,
+      "acc_norm_stderr,none": 0.007325714564602613,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.4846752058554437,
+      "exact_match_stderr,score-first": 0.007559194460000764,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.3511111111111111,
+      "exact_match_stderr,score-first": 0.015919433516195364,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.17103984450923226,
+      "acc_stderr,none": 0.011744077740056324,
+      "acc_norm,none": 0.17103984450923226,
+      "acc_norm_stderr,none": 0.011744077740056324,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.365,
+      "acc_stderr,none": 0.015231776226264914,
+      "acc_norm,none": 0.365,
+      "acc_norm_stderr,none": 0.015231776226264914,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.404,
+      "exact_match_stderr,score-first": 0.015524980677122583,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3042671614100185,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.3042671614100185,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.5111317254174397,
+      "exact_match_stderr,score-first": 0.015231914544654893,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.5150426314064328,
+      "acc_stderr,none": 0.02084925895237145,
+      "acc_norm,none": 0.51034687546702,
+      "acc_norm_stderr,none": 0.01981008430231029,
+      "exact_match,score-first": 0.20640208219447245,
+      "exact_match_stderr,score-first": 0.16605823463539698,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Nondzu/zephyr-speakleash-007-pl-8192-32-16-0.05",
+    "batch_size": "8",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-5_polish_generate/results.json b/pl/polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..0b190e01b2d67420725d48e6c0570bb8a7178710
--- /dev/null
+++ b/pl/polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-5_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6150078165711308,
+      "exact_match_stderr,score-first": 0.1279880115837021,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7936288088642659,
+      "exact_match_stderr,score-first": 0.015071817101529623,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6821862348178138,
+      "exact_match_stderr,score-first": 0.02097076956508622,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6626258005489478,
+      "exact_match_stderr,score-first": 0.007151542126842266,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.6377777777777778,
+      "exact_match_stderr,score-first": 0.01603032734626064,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.640427599611273,
+      "exact_match_stderr,score-first": 0.014966892427527188,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.626,
+      "exact_match_stderr,score-first": 0.01530876736900636,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.21799628942486085,
+      "exact_match_stderr,score-first": 0.01258117218020259,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6150078165711308,
+      "exact_match_stderr,score-first": 0.1279880115837021,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Nondzu/zephyr-speakleash-007-pl-8192-32-16-0.05",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-5_polish_mc/results.json b/pl/polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-5_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..3400ac76dda869c09e868b0ffb24a4555fafad53
--- /dev/null
+++ b/pl/polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-5_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.7073475768629495,
+      "acc_stderr,none": 0.05030717028335053,
+      "acc_norm,none": 0.7093277748827514,
+      "acc_norm_stderr,none": 0.049301586343680995,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.54,
+      "acc_stderr,none": 0.016622485006352963,
+      "acc_norm,none": 0.54,
+      "acc_norm_stderr,none": 0.016622485006352963,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.832409972299169,
+      "acc_stderr,none": 0.013909934700735784,
+      "acc_norm,none": 0.8116343490304709,
+      "acc_norm_stderr,none": 0.0145617453584378,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6761133603238867,
+      "acc_stderr,none": 0.021075739218382666,
+      "acc_norm,none": 0.7327935222672065,
+      "acc_norm_stderr,none": 0.019929244821849684,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.692131747483989,
+      "acc_stderr,none": 0.006982105958572425,
+      "acc_norm,none": 0.6935041171088746,
+      "acc_norm_stderr,none": 0.00697342992568039,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7862001943634597,
+      "acc_stderr,none": 0.012787147332879332,
+      "acc_norm,none": 0.7862001943634597,
+      "acc_norm_stderr,none": 0.012787147332879332,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.687,
+      "acc_stderr,none": 0.014671272822977883,
+      "acc_norm,none": 0.687,
+      "acc_norm_stderr,none": 0.014671272822977883,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.7829313543599258,
+      "acc_stderr,none": 0.012561819232608731,
+      "acc_norm,none": 0.7829313543599258,
+      "acc_norm_stderr,none": 0.012561819232608731,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.7073475768629495,
+      "acc_stderr,none": 0.05030717028335053,
+      "acc_norm,none": 0.7093277748827514,
+      "acc_norm_stderr,none": 0.049301586343680995,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Nondzu/zephyr-speakleash-007-pl-8192-32-16-0.05",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out2/results_APT3-1B-Base-0_polish/results.json b/pl/polish_benchmarks-out2/results_APT3-1B-Base-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..202a53eb3e7116592de35f6fb87c0ec98f8452b8
--- /dev/null
+++ b/pl/polish_benchmarks-out2/results_APT3-1B-Base-0_polish/results.json
@@ -0,0 +1,911 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2469516433240102,
+      "acc_stderr,none": 0.002521729293912833,
+      "acc_norm,none": 0.18576755323628613,
+      "acc_norm_stderr,none": 0.005694795296320046,
+      "f1,score-first": 0.045672385611171505,
+      "f1_stderr,score-first": 0.024089620479639893,
+      "accuracy,score-first": 0.045672385611171505,
+      "accuracy_stderr,score-first": 0.024089620479639893,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22111111111111112,
+      "acc_stderr,none": 0.013840863699859518,
+      "acc_norm,none": 0.22111111111111112,
+      "acc_norm_stderr,none": 0.013840863699859518,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.03185595567867036,
+      "f1_stderr,score-first": 0.006540300095172154,
+      "accuracy,score-first": 0.03185595567867036,
+      "accuracy_stderr,score-first": 0.006540300095172154,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.3060941828254848,
+      "acc_stderr,none": 0.017163670550803943,
+      "acc_norm,none": 0.16204986149584488,
+      "acc_norm_stderr,none": 0.01372352849077817,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.006072874493927126,
+      "f1_stderr,score-first": 0.003499056577953027,
+      "accuracy,score-first": 0.006072874493927126,
+      "accuracy_stderr,score-first": 0.003499056577953027,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.31781376518218624,
+      "acc_stderr,none": 0.020970769565086228,
+      "acc_norm,none": 0.35020242914979755,
+      "acc_norm_stderr,none": 0.021484495459914724,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.21294602012808783,
+      "acc_stderr,none": 0.006192223457856202,
+      "acc_norm,none": 0.10612991765782251,
+      "acc_norm_stderr,none": 0.004658710368821291,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.08828911253430924,
+      "f1_stderr,score-first": 0.0042913283228207064,
+      "accuracy,score-first": 0.08828911253430924,
+      "accuracy_stderr,score-first": 0.0042913283228207064,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.06333333333333334,
+      "f1_stderr,score-first": 0.008123232055260209,
+      "accuracy,score-first": 0.06333333333333334,
+      "accuracy_stderr,score-first": 0.008123232055260209,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.2196307094266278,
+      "acc_stderr,none": 0.01291219452361766,
+      "acc_norm,none": 0.2196307094266278,
+      "acc_norm_stderr,none": 0.01291219452361766,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577797,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577797,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.003,
+      "f1_stderr,score-first": 0.0017303161543469228,
+      "accuracy,score-first": 0.003,
+      "accuracy_stderr,score-first": 0.0017303161543469228,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3079777365491651,
+      "acc_stderr,none": 0.014067335427669261,
+      "acc_norm,none": 0.3079777365491651,
+      "acc_norm_stderr,none": 0.014067335427669261,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.06771799628942486,
+      "f1_stderr,score-first": 0.0076562807170192275,
+      "accuracy,score-first": 0.06771799628942486,
+      "accuracy_stderr,score-first": 0.0076562807170192275,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2469516433240102,
+      "acc_stderr,none": 0.002521729293912833,
+      "acc_norm,none": 0.18576755323628613,
+      "acc_norm_stderr,none": 0.005694795296320046,
+      "f1,score-first": 0.045672385611171505,
+      "f1_stderr,score-first": 0.024089620479639893,
+      "accuracy,score-first": 0.045672385611171505,
+      "accuracy_stderr,score-first": 0.024089620479639893,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "auto",
+    "batch_sizes": [
+      64
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out2/results_APT3-1B-Base-5_polish/results.json b/pl/polish_benchmarks-out2/results_APT3-1B-Base-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..a51349f2427605edd80a1f738319ba0c0e5722e4
--- /dev/null
+++ b/pl/polish_benchmarks-out2/results_APT3-1B-Base-5_polish/results.json
@@ -0,0 +1,911 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.3072715967681741,
+      "acc_stderr,none": 0.01969090193138441,
+      "acc_norm,none": 0.2568383472880424,
+      "acc_norm_stderr,none": 0.025431041932479657,
+      "f1,score-first": 0.005671732362664017,
+      "f1_stderr,score-first": 0.0060835998620534645,
+      "accuracy,score-first": 0.005671732362664017,
+      "accuracy_stderr,score-first": 0.0060835998620534645,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.25666666666666665,
+      "acc_stderr,none": 0.014567891342380032,
+      "acc_norm,none": 0.25666666666666665,
+      "acc_norm_stderr,none": 0.014567891342380032,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.389196675900277,
+      "acc_stderr,none": 0.018157983819187574,
+      "acc_norm,none": 0.2673130193905817,
+      "acc_norm_stderr,none": 0.016481686935413936,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.37449392712550605,
+      "acc_stderr,none": 0.021797901981018206,
+      "acc_norm,none": 0.36639676113360325,
+      "acc_norm_stderr,none": 0.021700065645408245,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.20288197621225984,
+      "acc_stderr,none": 0.00608264743751534,
+      "acc_norm,none": 0.11939615736505033,
+      "acc_norm_stderr,none": 0.004904503623515018,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.01989935956084172,
+      "f1_stderr,score-first": 0.0021123432094103728,
+      "accuracy,score-first": 0.01989935956084172,
+      "accuracy_stderr,score-first": 0.0021123432094103728,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.0011111111111111111,
+      "f1_stderr,score-first": 0.0011111111111111124,
+      "accuracy,score-first": 0.0011111111111111111,
+      "accuracy_stderr,score-first": 0.0011111111111111124,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7677356656948494,
+      "acc_stderr,none": 0.013170448486721168,
+      "acc_norm,none": 0.7677356656948494,
+      "acc_norm_stderr,none": 0.013170448486721168,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.0009718172983479105,
+      "f1_stderr,score-first": 0.0009718172983479058,
+      "accuracy,score-first": 0.0009718172983479105,
+      "accuracy_stderr,score-first": 0.0009718172983479058,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.329,
+      "acc_stderr,none": 0.014865395385928367,
+      "acc_norm,none": 0.329,
+      "acc_norm_stderr,none": 0.014865395385928367,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.588126159554731,
+      "acc_stderr,none": 0.014997176459791973,
+      "acc_norm,none": 0.588126159554731,
+      "acc_norm_stderr,none": 0.014997176459791973,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.3072715967681741,
+      "acc_stderr,none": 0.01969090193138441,
+      "acc_norm,none": 0.2568383472880424,
+      "acc_norm_stderr,none": 0.025431041932479657,
+      "f1,score-first": 0.005671732362664017,
+      "f1_stderr,score-first": 0.0060835998620534645,
+      "accuracy,score-first": 0.005671732362664017,
+      "accuracy_stderr,score-first": 0.0060835998620534645,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "auto",
+    "batch_sizes": [
+      16
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out2/results_trurl-2-7b-0_polish/results.json b/pl/polish_benchmarks-out2/results_trurl-2-7b-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..51ec961a98c2806bb616321cacd543f50049a3d4
--- /dev/null
+++ b/pl/polish_benchmarks-out2/results_trurl-2-7b-0_polish/results.json
@@ -0,0 +1,911 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.38655822884426444,
+      "acc_stderr,none": 0.009810522827733922,
+      "acc_norm,none": 0.3877248155817996,
+      "acc_norm_stderr,none": 0.009903004691484696,
+      "f1,score-first": 0.5390263032489272,
+      "f1_stderr,score-first": 0.09713328442043558,
+      "accuracy,score-first": 0.5390263032489272,
+      "accuracy_stderr,score-first": 0.09713328442043558,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.39555555555555555,
+      "acc_stderr,none": 0.016308052223501762,
+      "acc_norm,none": 0.39555555555555555,
+      "acc_norm_stderr,none": 0.016308052223501762,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.4695290858725762,
+      "f1_stderr,score-first": 0.018586362627404755,
+      "accuracy,score-first": 0.4695290858725762,
+      "accuracy_stderr,score-first": 0.018586362627404755,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16204986149584488,
+      "acc_stderr,none": 0.013723528490778158,
+      "acc_norm,none": 0.16204986149584488,
+      "acc_norm_stderr,none": 0.013723528490778158,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.4473684210526316,
+      "f1_stderr,score-first": 0.02239376166833581,
+      "accuracy,score-first": 0.4473684210526316,
+      "accuracy_stderr,score-first": 0.02239376166833581,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.0020242914979757085,
+      "acc_stderr,none": 0.0020242914979757094,
+      "acc_norm,none": 0.0020242914979757085,
+      "acc_norm_stderr,none": 0.0020242914979757094,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.5121225983531564,
+      "acc_stderr,none": 0.0075605243767434,
+      "acc_norm,none": 0.5146386093321135,
+      "acc_norm_stderr,none": 0.007559505586488673,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.6697163769441903,
+      "f1_stderr,score-first": 0.007113749634252443,
+      "accuracy,score-first": 0.6697163769441903,
+      "accuracy_stderr,score-first": 0.007113749634252443,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.44333333333333336,
+      "f1_stderr,score-first": 0.0165684909720556,
+      "accuracy,score-first": 0.44333333333333336,
+      "accuracy_stderr,score-first": 0.0165684909720556,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.2118561710398445,
+      "acc_stderr,none": 0.012744615626342343,
+      "acc_norm,none": 0.2118561710398445,
+      "acc_norm_stderr,none": 0.012744615626342343,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.8289601554907677,
+      "f1_stderr,score-first": 0.011744077740056324,
+      "accuracy,score-first": 0.8289601554907677,
+      "accuracy_stderr,score-first": 0.011744077740056324,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.334,
+      "acc_stderr,none": 0.014922019523732963,
+      "acc_norm,none": 0.334,
+      "acc_norm_stderr,none": 0.014922019523732963,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.421,
+      "f1_stderr,score-first": 0.015620595475301318,
+      "accuracy,score-first": 0.421,
+      "accuracy_stderr,score-first": 0.015620595475301318,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3070500927643785,
+      "acc_stderr,none": 0.014055544850266423,
+      "acc_norm,none": 0.3070500927643785,
+      "acc_norm_stderr,none": 0.014055544850266423,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.4322820037105751,
+      "f1_stderr,score-first": 0.0150953107201147,
+      "accuracy,score-first": 0.4322820037105751,
+      "accuracy_stderr,score-first": 0.0150953107201147,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.38655822884426444,
+      "acc_stderr,none": 0.009810522827733922,
+      "acc_norm,none": 0.3877248155817996,
+      "acc_norm_stderr,none": 0.009903004691484696,
+      "f1,score-first": 0.5390263032489272,
+      "f1_stderr,score-first": 0.09713328442043558,
+      "accuracy,score-first": 0.5390263032489272,
+      "accuracy_stderr,score-first": 0.09713328442043558,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b",
+    "batch_size": "auto",
+    "batch_sizes": [
+      32
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out21/results_mt5-xl-0_polish_generate/results.json b/pl/polish_benchmarks-out21/results_mt5-xl-0_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..a7a0f5738dff2238ff6713364164833c46edbba9
--- /dev/null
+++ b/pl/polish_benchmarks-out21/results_mt5-xl-0_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.030536737884314748,
+      "exact_match_stderr,score-first": 0.01076945600934832,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.036011080332409975,
+      "exact_match_stderr,score-first": 0.006938833457029125,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.008097165991902834,
+      "exact_match_stderr,score-first": 0.004036245995213747,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.042543458371454713,
+      "exact_match_stderr,score-first": 0.0030527098470848964,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.023333333333333334,
+      "exact_match_stderr,score-first": 0.005034794273880348,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.014577259475218658,
+      "exact_match_stderr,score-first": 0.0037381151461304968,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.03,
+      "exact_match_stderr,score-first": 0.0053971408290992015,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.01020408163265306,
+      "exact_match_stderr,score-first": 0.0030623296535250712,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.030536737884314748,
+      "exact_match_stderr,score-first": 0.01076945600934832,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 0,
+    "polemo2_out": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_regex": 0,
+    "polish_generate": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=google/mt5-xl",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out21/results_mt5-xl-0_polish_mc/results.json b/pl/polish_benchmarks-out21/results_mt5-xl-0_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d82f70510e80f2c55fec844ffc748e5c12be12c
--- /dev/null
+++ b/pl/polish_benchmarks-out21/results_mt5-xl-0_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.2997394476289734,
+      "acc_stderr,none": 0.2267205746448775,
+      "acc_norm,none": 0.30484627410109433,
+      "acc_norm_stderr,none": 0.22457641813702411,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.21888888888888888,
+      "acc_stderr,none": 0.013790766978256945,
+      "acc_norm,none": 0.21888888888888888,
+      "acc_norm_stderr,none": 0.013790766978256945,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.14265927977839335,
+      "acc_stderr,none": 0.013024441425272966,
+      "acc_norm,none": 0.15096952908587258,
+      "acc_norm_stderr,none": 0.0133333308677827,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.06275303643724696,
+      "acc_stderr,none": 0.010922471844180805,
+      "acc_norm,none": 0.32793522267206476,
+      "acc_norm_stderr,none": 0.021143463996780142,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.1253430924062214,
+      "acc_stderr,none": 0.005008165412043464,
+      "acc_norm,none": 0.10521500457456541,
+      "acc_norm_stderr,none": 0.004640959541395227,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8309037900874635,
+      "acc_stderr,none": 0.011690840877120627,
+      "acc_norm,none": 0.8309037900874635,
+      "acc_norm_stderr,none": 0.011690840877120627,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.392,
+      "acc_stderr,none": 0.015445859463771302,
+      "acc_norm,none": 0.392,
+      "acc_norm_stderr,none": 0.015445859463771302,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.2997394476289734,
+      "acc_stderr,none": 0.2267205746448775,
+      "acc_norm,none": 0.30484627410109433,
+      "acc_norm_stderr,none": 0.22457641813702411,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=google/mt5-xl",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out21/results_mt5-xl-5_polish_generate/results.json b/pl/polish_benchmarks-out21/results_mt5-xl-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..8b3ba5e0723fea96e901903d2dc2662946b5e2ad
--- /dev/null
+++ b/pl/polish_benchmarks-out21/results_mt5-xl-5_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.07889525794684732,
+      "exact_match_stderr,score-first": 0.06391971997608585,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.06976212259835315,
+      "exact_match_stderr,score-first": 0.003853154731369749,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.024444444444444446,
+      "exact_match_stderr,score-first": 0.005150344068794939,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.184645286686103,
+      "exact_match_stderr,score-first": 0.012101685125235148,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.24,
+      "exact_match_stderr,score-first": 0.013512312258920833,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.07889525794684732,
+      "exact_match_stderr,score-first": 0.06391971997608585,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=google/mt5-xl",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out21/results_mt5-xl-5_polish_mc/results.json b/pl/polish_benchmarks-out21/results_mt5-xl-5_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..422d2c045f8428cd2954588cc3fe03cf0a883093
--- /dev/null
+++ b/pl/polish_benchmarks-out21/results_mt5-xl-5_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.30224075039082854,
+      "acc_stderr,none": 0.22672764942095217,
+      "acc_norm,none": 0.30515893694632623,
+      "acc_norm_stderr,none": 0.2247719682178403,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.21888888888888888,
+      "acc_stderr,none": 0.013790766978256945,
+      "acc_norm,none": 0.21888888888888888,
+      "acc_norm_stderr,none": 0.013790766978256945,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16481994459833796,
+      "acc_stderr,none": 0.01381743107352032,
+      "acc_norm,none": 0.14958448753462603,
+      "acc_norm_stderr,none": 0.013282848932398793,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.0020242914979757085,
+      "acc_stderr,none": 0.0020242914979757094,
+      "acc_norm,none": 0.32793522267206476,
+      "acc_norm_stderr,none": 0.021143463996780142,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.13311985361390669,
+      "acc_stderr,none": 0.005138194510226116,
+      "acc_norm,none": 0.10521500457456541,
+      "acc_norm_stderr,none": 0.0046409595413952264,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8309037900874635,
+      "acc_stderr,none": 0.011690840877120627,
+      "acc_norm,none": 0.8309037900874635,
+      "acc_norm_stderr,none": 0.011690840877120627,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.396,
+      "acc_stderr,none": 0.01547331326585941,
+      "acc_norm,none": 0.396,
+      "acc_norm_stderr,none": 0.01547331326585941,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.30224075039082854,
+      "acc_stderr,none": 0.22672764942095217,
+      "acc_norm,none": 0.30515893694632623,
+      "acc_norm_stderr,none": 0.2247719682178403,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=google/mt5-xl",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out24/results_APT3-1B-Base-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out24/results_APT3-1B-Base-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9e2fc8437ba39d4bbe03fbffc5a4788f179efbc
--- /dev/null
+++ b/pl/polish_benchmarks-out24/results_APT3-1B-Base-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.693,
+      "acc_stderr,none": 0.014593284892852627,
+      "acc_norm,none": 0.693,
+      "acc_norm_stderr,none": 0.014593284892852627,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.404,
+      "exact_match_stderr,score-first": 0.015524980677122581,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.07337220602526726,
+      "acc_stderr,none": 0.005749119076407838,
+      "acc_norm,none": 0.12876579203109814,
+      "acc_norm_stderr,none": 0.007385001119374021,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.09475218658892129,
+      "exact_match_stderr,score-first": 0.006457452449446916,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out24/results_APT3-1B-Base-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out24/results_APT3-1B-Base-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..b6d8c9d1f936730a15691d329c3ed04c33826fa5
--- /dev/null
+++ b/pl/polish_benchmarks-out24/results_APT3-1B-Base-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.535,
+      "acc_stderr,none": 0.01578049505003016,
+      "acc_norm,none": 0.67,
+      "acc_norm_stderr,none": 0.014876872027456734,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.778,
+      "exact_match_stderr,score-first": 0.013148721948877364,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.2259475218658892,
+      "acc_stderr,none": 0.009220868914765595,
+      "acc_norm,none": 0.22983479105928087,
+      "acc_norm_stderr,none": 0.009276468781647961,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.2230320699708455,
+      "exact_match_stderr,score-first": 0.009178422778119835,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e1-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e1-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..cf4a8619bde17a6eb3ad69d191f7a6feabb6a210
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e1-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.712,
+      "acc_stderr,none": 0.01432694179723156,
+      "acc_norm,none": 0.808,
+      "acc_norm_stderr,none": 0.012461592646659969,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.337,
+      "exact_match_stderr,score-first": 0.014955087918653598,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.06997084548104957,
+      "acc_stderr,none": 0.005624574796815899,
+      "acc_norm,none": 0.2619047619047619,
+      "acc_norm_stderr,none": 0.00969417272041745,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.005344995140913508,
+      "exact_match_stderr,score-first": 0.0016076546004867652,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e1-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e1-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..74cabe9e38268d16ba5249526479c8cbacb0897e
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e1-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.578,
+      "acc_stderr,none": 0.015625625112620656,
+      "acc_norm,none": 0.699,
+      "acc_norm_stderr,none": 0.014512395033543148,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.689,
+      "exact_match_stderr,score-first": 0.014645596385722694,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.23955296404275997,
+      "acc_stderr,none": 0.009410617341400756,
+      "acc_norm,none": 0.23760932944606414,
+      "acc_norm_stderr,none": 0.00938433245768461,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.20942662779397472,
+      "exact_match_stderr,score-first": 0.0089715998556157,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e2-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e2-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..340ff40167a20efb2d030d8b39a42ee126131888
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e2-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.81,
+      "acc_stderr,none": 0.01241185135481633,
+      "acc_norm,none": 0.81,
+      "acc_norm_stderr,none": 0.01241185135481633,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.38,
+      "exact_match_stderr,score-first": 0.015356947477797582,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.1000971817298348,
+      "acc_stderr,none": 0.006617463965430797,
+      "acc_norm,none": 0.25170068027210885,
+      "acc_norm_stderr,none": 0.009568915599860433,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.00048590864917395527,
+      "exact_match_stderr,score-first": 0.0004859086491739539,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e2",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e2-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e2-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..33ee3e9cf862157b468eebcaba8b061804bec670
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_APT3-1B-Instruct-e2-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.749,
+      "acc_stderr,none": 0.01371813351688891,
+      "acc_norm,none": 0.791,
+      "acc_norm_stderr,none": 0.01286407728849934,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.668,
+      "exact_match_stderr,score-first": 0.014899597242811487,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.2512147716229349,
+      "acc_stderr,none": 0.009562778019607957,
+      "acc_norm,none": 0.23177842565597667,
+      "acc_norm_stderr,none": 0.009303848035233554,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.2337220602526725,
+      "exact_match_stderr,score-first": 0.009330950135681481,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e2",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-Instruct-v0.1-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-Instruct-v0.1-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..0cb4730535c32abf6b589fc610e8c02ab65261a6
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-Instruct-v0.1-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.173,
+      "acc_stderr,none": 0.01196721413755993,
+      "acc_norm,none": 0.58,
+      "acc_norm_stderr,none": 0.015615500115072957,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.076,
+      "exact_match_stderr,score-first": 0.00838416926679639,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.16277939747327502,
+      "acc_stderr,none": 0.008139589932788294,
+      "acc_norm,none": 0.25510204081632654,
+      "acc_norm_stderr,none": 0.009611434548623898,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.39941690962099125,
+      "exact_match_stderr,score-first": 0.010798977290244765,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-Instruct-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-Instruct-v0.1-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-Instruct-v0.1-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..08fc67547fb262888c3f189ff3e7f00d0dc6f2f7
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-Instruct-v0.1-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.744,
+      "acc_stderr,none": 0.013807775152234195,
+      "acc_norm,none": 0.77,
+      "acc_norm_stderr,none": 0.013314551335935947,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.703,
+      "exact_match_stderr,score-first": 0.014456832294801105,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.3532555879494655,
+      "acc_stderr,none": 0.010538861979780052,
+      "acc_norm,none": 0.4096209912536443,
+      "acc_norm_stderr,none": 0.01084274914098734,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.43974732750242956,
+      "exact_match_stderr,score-first": 0.010944008633352485,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-Instruct-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_4bit-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_4bit-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..80a925df2debe33c77a23b133a9fc9f910fe71a2
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_4bit-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.811,
+      "acc_stderr,none": 0.01238678458811771,
+      "acc_norm,none": 0.811,
+      "acc_norm_stderr,none": 0.01238678458811771,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.478,
+      "exact_match_stderr,score-first": 0.015803979428161932,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.40864917395529643,
+      "acc_stderr,none": 0.010838789220441791,
+      "acc_norm,none": 0.2619047619047619,
+      "acc_norm_stderr,none": 0.009694172720417452,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.2434402332361516,
+      "exact_match_stderr,score-first": 0.009462385839955418,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_4bit=True",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_4bit-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_4bit-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..3398b322530d4f7c990ee83ea6b4ba1f1e3a86cf
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_4bit-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.762,
+      "acc_stderr,none": 0.013473586661967227,
+      "acc_norm,none": 0.78,
+      "acc_norm_stderr,none": 0.01310617304066177,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.757,
+      "exact_match_stderr,score-first": 0.01356964019917743,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.42419825072886297,
+      "acc_stderr,none": 0.010896920457326266,
+      "acc_norm,none": 0.380466472303207,
+      "acc_norm_stderr,none": 0.010704674278693092,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.42759961127308066,
+      "exact_match_stderr,score-first": 0.010908159133830253,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_4bit=True",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_8bit-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_8bit-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..2b75ead3911d4178c9241ed1f63ec573ac6154b4
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_8bit-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.81,
+      "acc_stderr,none": 0.012411851354816332,
+      "acc_norm,none": 0.811,
+      "acc_norm_stderr,none": 0.01238678458811771,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.356,
+      "exact_match_stderr,score-first": 0.015149042659306628,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.2813411078717201,
+      "acc_stderr,none": 0.00991427252280332,
+      "acc_norm,none": 0.24489795918367346,
+      "acc_norm_stderr,none": 0.009481526412298708,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.4062196307094266,
+      "exact_match_stderr,score-first": 0.010828697588409123,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_8bit-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_8bit-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..43d7a12ad05f8294d69d728e36564df4845f975a
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_8bit-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.783,
+      "acc_stderr,none": 0.01304151375727071,
+      "acc_norm,none": 0.791,
+      "acc_norm_stderr,none": 0.01286407728849933,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.761,
+      "exact_match_stderr,score-first": 0.013493000446937587,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.4363459669582119,
+      "acc_stderr,none": 0.010934643960383642,
+      "acc_norm,none": 0.40184645286686105,
+      "acc_norm_stderr,none": 0.010809839977669582,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.41788143828960156,
+      "exact_match_stderr,score-first": 0.010874645749908483,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp200-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp200-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..e661a358674d05da0b04eb769229d2652cfcc114
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp200-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.51,
+      "acc_stderr,none": 0.015816135752773207,
+      "acc_norm,none": 0.808,
+      "acc_norm_stderr,none": 0.012461592646659974,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.207,
+      "exact_match_stderr,score-first": 0.01281855355784398,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.09037900874635568,
+      "acc_stderr,none": 0.006321889172161687,
+      "acc_norm,none": 0.24052478134110788,
+      "acc_norm_stderr,none": 0.009423659209324859,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.38095238095238093,
+      "exact_match_stderr,score-first": 0.010707306361919588,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp200-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp200-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..871d173fe890af12d91a2a619f8cc65ac04b7f07
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp200-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.809,
+      "acc_stderr,none": 0.012436787112179474,
+      "acc_norm,none": 0.811,
+      "acc_norm_stderr,none": 0.01238678458811771,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.795,
+      "exact_match_stderr,score-first": 0.01277255409611311,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.30174927113702626,
+      "acc_stderr,none": 0.010120726013675883,
+      "acc_norm,none": 0.282312925170068,
+      "acc_norm_stderr,none": 0.009924663656184005,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.3999028182701652,
+      "exact_match_stderr,score-first": 0.010801171955393783,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2000-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2000-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..66be9e5be716ccc0fbe5b26434f9dea3cdb0f690
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2000-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.069,
+      "acc_stderr,none": 0.008018934050315158,
+      "acc_norm,none": 0.076,
+      "acc_norm_stderr,none": 0.008384169266796386,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.49,
+      "exact_match_stderr,score-first": 0.0158161357527732,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.09718172983479106,
+      "acc_stderr,none": 0.006530934623724347,
+      "acc_norm,none": 0.24198250728862974,
+      "acc_norm_stderr,none": 0.009443097075623462,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.3066083576287658,
+      "exact_match_stderr,score-first": 0.010166328761007504,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2000/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2000-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2000-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..5c8902fb0bd6320296e55ff7c2b081c26d4ecbe4
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2000-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.792,
+      "acc_stderr,none": 0.012841374572096918,
+      "acc_norm,none": 0.8,
+      "acc_norm_stderr,none": 0.012655439943366665,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.804,
+      "exact_match_stderr,score-first": 0.012559527926707361,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.2978620019436346,
+      "acc_stderr,none": 0.010083275759623584,
+      "acc_norm,none": 0.2920310981535471,
+      "acc_norm_stderr,none": 0.010025464317967957,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.3032069970845481,
+      "exact_match_stderr,score-first": 0.010134547306236513,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2000/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2200-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2200-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..fc4e071446cb94a2d127db0c6c456e7526e4b2d2
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2200-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.102,
+      "acc_stderr,none": 0.009575368801653904,
+      "acc_norm,none": 0.489,
+      "acc_norm_stderr,none": 0.01581547119529268,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.697,
+      "exact_match_stderr,score-first": 0.01453968371053526,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.08989310009718172,
+      "acc_stderr,none": 0.006306555711726889,
+      "acc_norm,none": 0.24295432458697766,
+      "acc_norm_stderr,none": 0.009455972762261733,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.3556851311953353,
+      "exact_match_stderr,score-first": 0.010555159158091534,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2200-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2200-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..93df9c731fcbd8dfa235f5ef0007fc654103c862
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp2200-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.793,
+      "acc_stderr,none": 0.012818553557843981,
+      "acc_norm,none": 0.796,
+      "acc_norm_stderr,none": 0.012749374359024387,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.807,
+      "exact_match_stderr,score-first": 0.012486268734370145,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.27793974732750243,
+      "acc_stderr,none": 0.009877451430348015,
+      "acc_norm,none": 0.2881438289601555,
+      "acc_norm_stderr,none": 0.009985817916014144,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.32798833819241985,
+      "exact_match_stderr,score-first": 0.010351432635593566,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp400-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp400-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb332c471536fa1ebec88f4048377dcbbfbb9111
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp400-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.766,
+      "acc_stderr,none": 0.01339490288966001,
+      "acc_norm,none": 0.811,
+      "acc_norm_stderr,none": 0.01238678458811771,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.315,
+      "exact_match_stderr,score-first": 0.014696631960792487,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.16812439261418854,
+      "acc_stderr,none": 0.008245697784333187,
+      "acc_norm,none": 0.29931972789115646,
+      "acc_norm_stderr,none": 0.010097421138786837,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.3979591836734694,
+      "exact_match_stderr,score-first": 0.010792326803946034,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-400/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp400-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp400-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..990171e2ff7e7b89caa3e01bd4dfb09653a0c90b
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp400-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.813,
+      "acc_stderr,none": 0.012336254828074135,
+      "acc_norm,none": 0.81,
+      "acc_norm_stderr,none": 0.012411851354816332,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.808,
+      "exact_match_stderr,score-first": 0.01246159264665998,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.3435374149659864,
+      "acc_stderr,none": 0.010470679470682356,
+      "acc_norm,none": 0.3362487852283771,
+      "acc_norm_stderr,none": 0.010416357589185112,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.3877551020408163,
+      "exact_match_stderr,score-first": 0.010742966017526662,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-400/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp600-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp600-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..14c75a06b5aaea6edfe09718ec69d8df80ca431f
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp600-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.479,
+      "acc_stderr,none": 0.015805341148131296,
+      "acc_norm,none": 0.792,
+      "acc_norm_stderr,none": 0.012841374572096921,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.649,
+      "exact_match_stderr,score-first": 0.0151005637983164,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.3848396501457726,
+      "acc_stderr,none": 0.010727954610373798,
+      "acc_norm,none": 0.27793974732750243,
+      "acc_norm_stderr,none": 0.009877451430348017,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.3522837706511176,
+      "exact_match_stderr,score-first": 0.010532259760704847,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-600/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp600-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp600-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..6a5d15efdcfb0a9fca18c9326fd8a29265f4c96e
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp600-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.805,
+      "acc_stderr,none": 0.012535235623319329,
+      "acc_norm,none": 0.805,
+      "acc_norm_stderr,none": 0.012535235623319329,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.811,
+      "exact_match_stderr,score-first": 0.012386784588117709,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.3566569484936832,
+      "acc_stderr,none": 0.010561594913165133,
+      "acc_norm,none": 0.3488824101068999,
+      "acc_norm_stderr,none": 0.010508775276631027,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.3877551020408163,
+      "exact_match_stderr,score-first": 0.010742966017526669,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-600/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp800-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp800-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..dfe3681be92891c0c582e909e463f51c766fd95b
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp800-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.178,
+      "acc_stderr,none": 0.012102167676183584,
+      "acc_norm,none": 0.64,
+      "acc_norm_stderr,none": 0.015186527932040133,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.71,
+      "exact_match_stderr,score-first": 0.014356395999905694,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.0738581146744412,
+      "acc_stderr,none": 0.005766611926590861,
+      "acc_norm,none": 0.26822157434402333,
+      "acc_norm_stderr,none": 0.00976831168497081,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.36977648202137997,
+      "exact_match_stderr,score-first": 0.01064387584629045,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-800/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp800-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp800-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6dea3be9c312170b38e7e083723b3d53819a2ca
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_Mistral-7B-v0.1_lora_chp800-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.813,
+      "acc_stderr,none": 0.012336254828074133,
+      "acc_norm,none": 0.81,
+      "acc_norm_stderr,none": 0.012411851354816332,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.811,
+      "exact_match_stderr,score-first": 0.012386784588117709,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.3488824101068999,
+      "acc_stderr,none": 0.010508775276631025,
+      "acc_norm,none": 0.34207968901846453,
+      "acc_norm_stderr,none": 0.010460035186871842,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.37900874635568516,
+      "exact_match_stderr,score-first": 0.010696709759543298,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-800/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_trurl-2-13b-academic_8bits-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_trurl-2-13b-academic_8bits-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..10f94373c837be7e0e526655cf29682269ddcf8e
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_trurl-2-13b-academic_8bits-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.304,
+      "acc_stderr,none": 0.014553205687950455,
+      "acc_norm,none": 0.571,
+      "acc_norm_stderr,none": 0.015658997547870243,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.128,
+      "exact_match_stderr,score-first": 0.01057013376110865,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.09572400388726919,
+      "acc_stderr,none": 0.0064869982888648495,
+      "acc_norm,none": 0.23809523809523808,
+      "acc_norm_stderr,none": 0.009390928909898368,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.2531584062196307,
+      "exact_match_stderr,score-first": 0.00958723293158054,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-13b-academic",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_trurl-2-13b-academic_8bits-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_trurl-2-13b-academic_8bits-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..d780fd2c70f915fe0851dccc617fbf884cf01ac7
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_trurl-2-13b-academic_8bits-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.781,
+      "acc_stderr,none": 0.013084731950262028,
+      "acc_norm,none": 0.791,
+      "acc_norm_stderr,none": 0.012864077288499335,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.64,
+      "exact_match_stderr,score-first": 0.015186527932040122,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.413508260447036,
+      "acc_stderr,none": 0.010858151547400045,
+      "acc_norm,none": 0.4509232264334305,
+      "acc_norm_stderr,none": 0.010971113135428957,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.4271137026239067,
+      "exact_match_stderr,score-first": 0.01090658589008179,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-13b-academic",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_trurl-2-7b-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_trurl-2-7b-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..689e56f12f96220a952c801da40d5e688056df66
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_trurl-2-7b-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.263,
+      "acc_stderr,none": 0.013929286594259736,
+      "acc_norm,none": 0.481,
+      "acc_norm_stderr,none": 0.01580787426850585,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.119,
+      "exact_match_stderr,score-first": 0.010244215145336664,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.08551992225461613,
+      "acc_stderr,none": 0.006166001516154365,
+      "acc_norm,none": 0.2730806608357629,
+      "acc_norm_stderr,none": 0.009823617368260484,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.41690962099125367,
+      "exact_match_stderr,score-first": 0.010871056444246328,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_trurl-2-7b-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_trurl-2-7b-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..c1f8e8f3014783e6a97d07cf1866b0a1513460b7
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_trurl-2-7b-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.692,
+      "acc_stderr,none": 0.01460648312734276,
+      "acc_norm,none": 0.721,
+      "acc_norm_stderr,none": 0.01419015011761203,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.529,
+      "exact_match_stderr,score-first": 0.0157926694516289,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.3814382896015549,
+      "acc_stderr,none": 0.010709927080912502,
+      "acc_norm,none": 0.42468415937803694,
+      "acc_norm_stderr,none": 0.010898558287785787,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.3838678328474247,
+      "exact_match_stderr,score-first": 0.010722860502749329,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_zephyr-7b-alpha-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_zephyr-7b-alpha-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..a4ce9e0566bdb8290ebcffdb74b1a395ee4facb1
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_zephyr-7b-alpha-0_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.648,
+      "acc_stderr,none": 0.015110404505648668,
+      "acc_norm,none": 0.757,
+      "acc_norm_stderr,none": 0.013569640199177434,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.094,
+      "exact_match_stderr,score-first": 0.00923305200078773,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.4577259475218659,
+      "acc_stderr,none": 0.010984872801949095,
+      "acc_norm,none": 0.4552964042759961,
+      "acc_norm_stderr,none": 0.010980195822750675,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.315354713313897,
+      "exact_match_stderr,score-first": 0.010245079402870906,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0,
+    "polish_cbd_regex": 0,
+    "polish_klej_ner_multiple_choice": 0,
+    "polish_klej_ner_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out25/results_zephyr-7b-alpha-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json b/pl/polish_benchmarks-out25/results_zephyr-7b-alpha-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..8a52d6541b9e85735a8a6271955f73ede6556771
--- /dev/null
+++ b/pl/polish_benchmarks-out25/results_zephyr-7b-alpha-5_polish_cbd_multiple_choice,polish_cbd_regex,polish_klej_ner_multiple_choice,polish_klej_ner_regex/results.json
@@ -0,0 +1,223 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.639,
+      "acc_stderr,none": 0.015195720118175127,
+      "acc_norm,none": 0.661,
+      "acc_norm_stderr,none": 0.014976758771620347,
+      "alias": "polish_cbd_multiple_choice"
+    },
+    "polish_cbd_regex": {
+      "exact_match,score-first": 0.644,
+      "exact_match_stderr,score-first": 0.015149042659306626,
+      "alias": "polish_cbd_regex"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.467444120505345,
+      "acc_stderr,none": 0.011000952685803912,
+      "acc_norm,none": 0.4557823129251701,
+      "acc_norm_stderr,none": 0.010981152283299102,
+      "alias": "polish_klej_ner_multiple_choice"
+    },
+    "polish_klej_ner_regex": {
+      "exact_match,score-first": 0.42225461613216714,
+      "exact_match_stderr,score-first": 0.010890261273780552,
+      "alias": "polish_klej_ner_regex"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_cbd_regex": {
+      "task": "polish_cbd_regex",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nPytanie: Jaka kategoria najlepiej pasuje do podanej wypowiedzi?\nMożliwe odpowiedzi:\nA - nieszkodliwa\nB - szyderstwo\nC - obelga\nD - insynuacja\nE - groźba\nF - molestowanie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'szyderstwo': 'B', 'obelga': 'C', 'insynuacja': 'D', 'grozba': 'E', 'molestowanie': 'F'}.get(CATEGORIES, 'A')}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    },
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak nazwanej jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_klej_ner_regex": {
+      "task": "polish_klej_ner_regex",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nPytanie: Jakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi:\nA - Brak nazwanej jednostki\nB - Nazwa miejsca\nC - Nazwa osoby\nD - Nazwa organizacji\nE - Czas\nF - Nazwa geograficzna\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'noEntity': 'A', 'placeName': 'B', 'persName': 'C', 'orgName': 'D', 'time': 'E', 'geogName': 'F'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ",",
+          ";"
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEF]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml",
+    "polish_cbd_regex": "Yaml",
+    "polish_klej_ner_multiple_choice": "Yaml",
+    "polish_klej_ner_regex": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 5,
+    "polish_cbd_regex": 5,
+    "polish_klej_ner_multiple_choice": 5,
+    "polish_klej_ner_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out26/results_HF_v5-Eagle-7B-0_polish_cbd_multiple_choice/results.json b/pl/polish_benchmarks-out26/results_HF_v5-Eagle-7B-0_polish_cbd_multiple_choice/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..f5cdf5f8660c1f4228cdaf3bd843bed37a56b98a
--- /dev/null
+++ b/pl/polish_benchmarks-out26/results_HF_v5-Eagle-7B-0_polish_cbd_multiple_choice/results.json
@@ -0,0 +1,67 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.787,
+      "acc_stderr,none": 0.01295371756673723,
+      "acc_norm,none": 0.811,
+      "acc_norm_stderr,none": 0.01238678458811771,
+      "alias": "polish_cbd_multiple_choice"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=RWKV/HF_v5-Eagle-7B,trust_remote_code=True",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out27/results_HF_v5-Eagle-7B-0_polish_mc/results.json b/pl/polish_benchmarks-out27/results_HF_v5-Eagle-7B-0_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..f06621b8bf9122f870f7998b6f1d88d700a2a374
--- /dev/null
+++ b/pl/polish_benchmarks-out27/results_HF_v5-Eagle-7B-0_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.3392391870766024,
+      "acc_stderr,none": 0.08549718784572437,
+      "acc_norm,none": 0.2795205836373111,
+      "acc_norm_stderr,none": 0.09501543204876321,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22555555555555556,
+      "acc_stderr,none": 0.013939334910458132,
+      "acc_norm,none": 0.22555555555555556,
+      "acc_norm_stderr,none": 0.013939334910458132,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.24238227146814403,
+      "acc_stderr,none": 0.015959080213367862,
+      "acc_norm,none": 0.23130193905817176,
+      "acc_norm_stderr,none": 0.015703624326405728,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.10121457489878542,
+      "acc_stderr,none": 0.013583950135048612,
+      "acc_norm,none": 0.09109311740890688,
+      "acc_norm_stderr,none": 0.01295922466015463,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.3920402561756633,
+      "acc_stderr,none": 0.007384351149071361,
+      "acc_norm,none": 0.26395242451967066,
+      "acc_norm_stderr,none": 0.0066669219027414165,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.31875607385811466,
+      "acc_stderr,none": 0.014533961276467866,
+      "acc_norm,none": 0.31875607385811466,
+      "acc_norm_stderr,none": 0.014533961276467866,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.185,
+      "acc_stderr,none": 0.0122851913263867,
+      "acc_norm,none": 0.185,
+      "acc_norm_stderr,none": 0.0122851913263867,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5565862708719852,
+      "acc_stderr,none": 0.015137806899417445,
+      "acc_norm,none": 0.5565862708719852,
+      "acc_norm_stderr,none": 0.015137806899417445,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.3392391870766024,
+      "acc_stderr,none": 0.08549718784572437,
+      "acc_norm,none": 0.2795205836373111,
+      "acc_norm_stderr,none": 0.09501543204876321,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=RWKV/HF_v5-Eagle-7B,trust_remote_code=True",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_0-0_polish/results.json b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_0-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..353cbf73823c51d828939c00f7dbd236842458fc
--- /dev/null
+++ b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_0-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.3075831525620042,
+      "acc_stderr,none": 0.01640975565100809,
+      "acc_norm,none": 0.2137259468603099,
+      "acc_norm_stderr,none": 0.02583013020913465,
+      "exact_match,score-first": 0.07276689493138021,
+      "exact_match_stderr,score-first": 0.028342181249937544,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22444444444444445,
+      "acc_stderr,none": 0.013914930474237287,
+      "acc_norm,none": 0.22444444444444445,
+      "acc_norm_stderr,none": 0.013914930474237287,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.08448753462603878,
+      "exact_match_stderr,score-first": 0.01035764012228206,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.1883656509695291,
+      "acc_stderr,none": 0.014561745358437767,
+      "acc_norm,none": 0.1883656509695291,
+      "acc_norm_stderr,none": 0.014561745358437767,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.006072874493927126,
+      "exact_match_stderr,score-first": 0.003499056577953042,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.006072874493927126,
+      "acc_stderr,none": 0.0034990565779530235,
+      "acc_norm,none": 0.006072874493927126,
+      "acc_norm_stderr,none": 0.0034990565779530235,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.3142726440988106,
+      "acc_stderr,none": 0.007021641046151386,
+      "acc_norm,none": 0.11184812442817932,
+      "acc_norm_stderr,none": 0.0047672460580803645,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.08737419945105215,
+      "exact_match_stderr,score-first": 0.004271177035081414,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.07888888888888888,
+      "exact_match_stderr,score-first": 0.008990504946761192,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7278911564625851,
+      "acc_stderr,none": 0.013880592111291976,
+      "acc_norm,none": 0.7278911564625851,
+      "acc_norm_stderr,none": 0.013880592111291976,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.003887269193391642,
+      "exact_match_stderr,score-first": 0.0019407964818744237,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.318,
+      "acc_stderr,none": 0.0147340793093119,
+      "acc_norm,none": 0.318,
+      "acc_norm_stderr,none": 0.0147340793093119,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.039,
+      "exact_match_stderr,score-first": 0.0061250727764261235,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5296846011131725,
+      "acc_stderr,none": 0.015208816545104727,
+      "acc_norm,none": 0.5296846011131725,
+      "acc_norm_stderr,none": 0.015208816545104727,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.11873840445269017,
+      "exact_match_stderr,score-first": 0.00985689601421368,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.3075831525620042,
+      "acc_stderr,none": 0.01640975565100809,
+      "acc_norm,none": 0.2137259468603099,
+      "acc_norm_stderr,none": 0.02583013020913465,
+      "exact_match,score-first": 0.07276689493138021,
+      "exact_match_stderr,score-first": 0.028342181249937544,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_base/epoch_0_hf",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_0-5_polish/results.json b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_0-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..d99855698475cc5f28b588259715c478cd69d3e1
--- /dev/null
+++ b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_0-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2882755865748804,
+      "acc_stderr,none": 0.018339369684040305,
+      "acc_norm,none": 0.26440743185984933,
+      "acc_norm_stderr,none": 0.021125919720328214,
+      "exact_match,score-first": 0.0010766958745092603,
+      "exact_match_stderr,score-first": 0.001338654204122715,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22333333333333333,
+      "acc_stderr,none": 0.013890384297198723,
+      "acc_norm,none": 0.22333333333333333,
+      "acc_norm_stderr,none": 0.013890384297198723,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.38365650969529086,
+      "acc_stderr,none": 0.01810985862897144,
+      "acc_norm,none": 0.35041551246537395,
+      "acc_norm_stderr,none": 0.017768135276145486,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0020242914979757085,
+      "exact_match_stderr,score-first": 0.0020242914979757185,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.3623481781376518,
+      "acc_stderr,none": 0.02164867814889111,
+      "acc_norm,none": 0.3623481781376518,
+      "acc_norm_stderr,none": 0.02164867814889111,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.18092406221408966,
+      "acc_stderr,none": 0.0058226387422834775,
+      "acc_norm,none": 0.1360933211344922,
+      "acc_norm_stderr,none": 0.005186345187844513,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.0013723696248856359,
+      "exact_match_stderr,score-first": 0.0005599470156852587,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.0033333333333333335,
+      "exact_match_stderr,score-first": 0.0019223589924644814,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.6054421768707483,
+      "acc_stderr,none": 0.015243865492469137,
+      "acc_norm,none": 0.6054421768707483,
+      "acc_norm_stderr,none": 0.015243865492469137,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0009718172983479105,
+      "exact_match_stderr,score-first": 0.0009718172983479099,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.415,
+      "acc_stderr,none": 0.01558903518560463,
+      "acc_norm,none": 0.415,
+      "acc_norm_stderr,none": 0.01558903518560463,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.003,
+      "exact_match_stderr,score-first": 0.001730316154346933,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6679035250463822,
+      "acc_stderr,none": 0.014350966446706831,
+      "acc_norm,none": 0.6679035250463822,
+      "acc_norm_stderr,none": 0.014350966446706831,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0018552875695732839,
+      "exact_match_stderr,score-first": 0.0013112772334340445,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2882755865748804,
+      "acc_stderr,none": 0.018339369684040305,
+      "acc_norm,none": 0.26440743185984933,
+      "acc_norm_stderr,none": 0.021125919720328214,
+      "exact_match,score-first": 0.0010766958745092603,
+      "exact_match_stderr,score-first": 0.001338654204122715,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_base/epoch_0_hf",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_1-0_polish/results.json b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_1-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..f64673d26c1b2108be1bfde6482f2404c0b4541b
--- /dev/null
+++ b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_1-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.23958849879544777,
+      "acc_stderr,none": 0.02209891218256675,
+      "acc_norm,none": 0.21186387545023722,
+      "acc_norm_stderr,none": 0.025368520324248637,
+      "exact_match,score-first": 0.10717315741452141,
+      "exact_match_stderr,score-first": 0.041506357539547616,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2288888888888889,
+      "acc_stderr,none": 0.01401170515888451,
+      "acc_norm,none": 0.2288888888888889,
+      "acc_norm_stderr,none": 0.01401170515888451,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.1440443213296399,
+      "exact_match_stderr,score-first": 0.013076938378993411,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.20637119113573407,
+      "acc_stderr,none": 0.015071817101529664,
+      "acc_norm,none": 0.203601108033241,
+      "acc_norm_stderr,none": 0.01499642568791465,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.008097165991902834,
+      "exact_match_stderr,score-first": 0.004036245995213747,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.008097165991902834,
+      "acc_stderr,none": 0.0040362459952137525,
+      "acc_norm,none": 0.012145748987854251,
+      "acc_norm_stderr,none": 0.004933272753415427,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.16857273559011893,
+      "acc_stderr,none": 0.0056625936161876075,
+      "acc_norm,none": 0.10887465690759378,
+      "acc_norm_stderr,none": 0.0047113177301317,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.0944647758462946,
+      "exact_match_stderr,score-first": 0.004423817682167977,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.11333333333333333,
+      "exact_match_stderr,score-first": 0.01057253608849262,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7725947521865889,
+      "acc_stderr,none": 0.013073129430750846,
+      "acc_norm,none": 0.7725947521865889,
+      "acc_norm_stderr,none": 0.013073129430750846,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.15937803692905733,
+      "exact_match_stderr,score-first": 0.011416107394744615,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.409,
+      "acc_stderr,none": 0.015555094373257942,
+      "acc_norm,none": 0.409,
+      "acc_norm_stderr,none": 0.015555094373257942,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.004,
+      "exact_match_stderr,score-first": 0.00199699473909873,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3385899814471243,
+      "acc_stderr,none": 0.014419977563601947,
+      "acc_norm,none": 0.3385899814471243,
+      "acc_norm_stderr,none": 0.014419977563601947,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.09369202226345083,
+      "exact_match_stderr,score-first": 0.008879353704911911,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.23958849879544777,
+      "acc_stderr,none": 0.02209891218256675,
+      "acc_norm,none": 0.21186387545023722,
+      "acc_norm_stderr,none": 0.025368520324248637,
+      "exact_match,score-first": 0.10717315741452141,
+      "exact_match_stderr,score-first": 0.041506357539547616,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_base/epoch_1_hf",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_1-5_polish/results.json b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_1-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..8f4261a19ba38496edd4bb8f35c15179ef938390
--- /dev/null
+++ b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_1-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.24755373928980073,
+      "acc_stderr,none": 0.018924351937798525,
+      "acc_norm,none": 0.23154972928458745,
+      "acc_norm_stderr,none": 0.020639537977258877,
+      "exact_match,score-first": 0.009488670322217833,
+      "exact_match_stderr,score-first": 0.008655890536724295,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22333333333333333,
+      "acc_stderr,none": 0.013890384297198723,
+      "acc_norm,none": 0.22333333333333333,
+      "acc_norm_stderr,none": 0.013890384297198723,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.3060941828254848,
+      "acc_stderr,none": 0.017163670550803943,
+      "acc_norm,none": 0.2409972299168975,
+      "acc_norm_stderr,none": 0.015927956958878338,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0020242914979757085,
+      "exact_match_stderr,score-first": 0.0020242914979757185,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.22267206477732793,
+      "acc_stderr,none": 0.018737495700385527,
+      "acc_norm,none": 0.23076923076923078,
+      "acc_norm_stderr,none": 0.018975525653653767,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.13357731015553523,
+      "acc_stderr,none": 0.005145657220721402,
+      "acc_norm,none": 0.1111619396157365,
+      "acc_norm_stderr,none": 0.0047544356776396905,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.028819762122598354,
+      "exact_match_stderr,score-first": 0.002530490498469682,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.016666666666666666,
+      "exact_match_stderr,score-first": 0.004269675894690886,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.5753158406219631,
+      "acc_stderr,none": 0.015416636755895606,
+      "acc_norm,none": 0.5753158406219631,
+      "acc_norm_stderr,none": 0.015416636755895606,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.418,
+      "acc_stderr,none": 0.015605111967541944,
+      "acc_norm,none": 0.418,
+      "acc_norm_stderr,none": 0.015605111967541944,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.003,
+      "exact_match_stderr,score-first": 0.001730316154346932,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6261595547309833,
+      "acc_stderr,none": 0.014742726099378725,
+      "acc_norm,none": 0.6261595547309833,
+      "acc_norm_stderr,none": 0.014742726099378725,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0027829313543599257,
+      "exact_match_stderr,score-first": 0.001605233619884471,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.24755373928980073,
+      "acc_stderr,none": 0.018924351937798525,
+      "acc_norm,none": 0.23154972928458745,
+      "acc_norm_stderr,none": 0.020639537977258877,
+      "exact_match,score-first": 0.009488670322217833,
+      "exact_match_stderr,score-first": 0.008655890536724295,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_base/epoch_1_hf",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_2-0_polish/results.json b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_2-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..c35b071360f584cf620cd67cabbd3f71e7f0b3d2
--- /dev/null
+++ b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_2-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.24117283408696324,
+      "acc_stderr,none": 0.011842489648347714,
+      "acc_norm,none": 0.2019216967309529,
+      "acc_norm_stderr,none": 0.015481043556110154,
+      "exact_match,score-first": 0.1772041002934857,
+      "exact_match_stderr,score-first": 0.09526545429095085,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22777777777777777,
+      "acc_stderr,none": 0.01398772152368794,
+      "acc_norm,none": 0.22777777777777777,
+      "acc_norm_stderr,none": 0.01398772152368794,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.20637119113573407,
+      "exact_match_stderr,score-first": 0.015071817101529668,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.23130193905817176,
+      "acc_stderr,none": 0.015703624326405728,
+      "acc_norm,none": 0.21745152354570638,
+      "acc_norm_stderr,none": 0.015362759087706297,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.05465587044534413,
+      "exact_match_stderr,score-first": 0.010237405686752053,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.06680161943319839,
+      "acc_stderr,none": 0.011244936933641855,
+      "acc_norm,none": 0.07489878542510121,
+      "acc_norm_stderr,none": 0.011855190950315796,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.18801463860933212,
+      "acc_stderr,none": 0.005909891786520144,
+      "acc_norm,none": 0.10521500457456541,
+      "acc_norm_stderr,none": 0.004640959541395227,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.11184812442817932,
+      "exact_match_stderr,score-first": 0.004767246058080388,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.16,
+      "exact_match_stderr,score-first": 0.01222699651698945,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.60932944606414,
+      "acc_stderr,none": 0.015217204073946,
+      "acc_norm,none": 0.60932944606414,
+      "acc_norm_stderr,none": 0.015217204073946,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.36443148688046645,
+      "exact_match_stderr,score-first": 0.015010410727385907,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.291,
+      "acc_stderr,none": 0.014370995982377937,
+      "acc_norm,none": 0.291,
+      "acc_norm_stderr,none": 0.014370995982377937,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.01,
+      "exact_match_stderr,score-first": 0.0031480009386767667,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.42115027829313545,
+      "acc_stderr,none": 0.015045049077748342,
+      "acc_norm,none": 0.42115027829313545,
+      "acc_norm_stderr,none": 0.015045049077748342,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.45732838589981445,
+      "exact_match_stderr,score-first": 0.015180105161405041,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.24117283408696324,
+      "acc_stderr,none": 0.011842489648347714,
+      "acc_norm,none": 0.2019216967309529,
+      "acc_norm_stderr,none": 0.015481043556110154,
+      "exact_match,score-first": 0.1772041002934857,
+      "exact_match_stderr,score-first": 0.09526545429095085,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_base/epoch_2_hf",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_2-5_polish/results.json b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_2-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..430700cda171ef6774b46e2c9d2f8e0218c5eec5
--- /dev/null
+++ b/pl/polish_benchmarks-out28/results_3-5B_high_base/epoch_2-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.24372059664883342,
+      "acc_stderr,none": 0.008846436772653904,
+      "acc_norm,none": 0.21677689508030049,
+      "acc_norm_stderr,none": 0.011272608625608499,
+      "exact_match,score-first": 0.02275495025662903,
+      "exact_match_stderr,score-first": 0.013954345791235298,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2288888888888889,
+      "acc_stderr,none": 0.01401170515888451,
+      "acc_norm,none": 0.2288888888888889,
+      "acc_norm_stderr,none": 0.01401170515888451,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.04155124653739612,
+      "exact_match_stderr,score-first": 0.007432053797285671,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.29916897506925205,
+      "acc_stderr,none": 0.01705286304111783,
+      "acc_norm,none": 0.2659279778393352,
+      "acc_norm_stderr,none": 0.01645446321931563,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.008097165991902834,
+      "exact_match_stderr,score-first": 0.004036245995213748,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.19433198380566802,
+      "acc_stderr,none": 0.01782078144384851,
+      "acc_norm,none": 0.22064777327935223,
+      "acc_norm_stderr,none": 0.01867640164893017,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.16582799634034767,
+      "acc_stderr,none": 0.005625567349208309,
+      "acc_norm,none": 0.11139066788655078,
+      "acc_norm_stderr,none": 0.004758712151345131,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.004117108874656907,
+      "exact_match_stderr,score-first": 0.0009685229326416087,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.024444444444444446,
+      "exact_match_stderr,score-first": 0.005150344068794952,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.42857142857142855,
+      "acc_stderr,none": 0.015434622987120382,
+      "acc_norm,none": 0.42857142857142855,
+      "acc_norm_stderr,none": 0.015434622987120382,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.394,
+      "acc_stderr,none": 0.01545972195749338,
+      "acc_norm,none": 0.394,
+      "acc_norm_stderr,none": 0.01545972195749338,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.013,
+      "exact_match_stderr,score-first": 0.003583830889403629,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5102040816326531,
+      "acc_stderr,none": 0.015232517772695516,
+      "acc_norm,none": 0.5102040816326531,
+      "acc_norm_stderr,none": 0.015232517772695516,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.03432282003710575,
+      "exact_match_stderr,score-first": 0.005547529422575588,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.24372059664883342,
+      "acc_stderr,none": 0.008846436772653904,
+      "acc_norm,none": 0.21677689508030049,
+      "acc_norm_stderr,none": 0.011272608625608499,
+      "exact_match,score-first": 0.02275495025662903,
+      "exact_match_stderr,score-first": 0.013954345791235298,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_base/epoch_2_hf",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out29/results_7B_high_base/epoch_0-0_polish/results.json b/pl/polish_benchmarks-out29/results_7B_high_base/epoch_0-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fcd09a6c295cdc8c69ac8427c1633394004ea96
--- /dev/null
+++ b/pl/polish_benchmarks-out29/results_7B_high_base/epoch_0-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2336198335055847,
+      "acc_stderr,none": 0.026920805296030807,
+      "acc_norm,none": 0.3271812300197981,
+      "acc_norm_stderr,none": 0.017238599842726708,
+      "exact_match,score-first": 0.11577599550913911,
+      "exact_match_stderr,score-first": 0.0592117622803141,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22666666666666666,
+      "acc_stderr,none": 0.013963598349030465,
+      "acc_norm,none": 0.22666666666666666,
+      "acc_norm_stderr,none": 0.013963598349030465,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.12880886426592797,
+      "exact_match_stderr,score-first": 0.012475615091746118,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16204986149584488,
+      "acc_stderr,none": 0.013723528490778158,
+      "acc_norm,none": 0.1634349030470914,
+      "acc_norm_stderr,none": 0.01377065643025864,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.06072874493927125,
+      "exact_match_stderr,score-first": 0.010756456099677209,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.016194331983805668,
+      "acc_stderr,none": 0.0056847676608474665,
+      "acc_norm,none": 0.016194331983805668,
+      "acc_norm_stderr,none": 0.0056847676608474665,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.14158279963403478,
+      "acc_stderr,none": 0.005273076235557607,
+      "acc_norm,none": 0.34309240622140896,
+      "acc_norm_stderr,none": 0.007180708398113957,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.11413540713632205,
+      "exact_match_stderr,score-first": 0.004809539155629369,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.09666666666666666,
+      "exact_match_stderr,score-first": 0.00985558808430306,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7521865889212828,
+      "acc_stderr,none": 0.013465690815995864,
+      "acc_norm,none": 0.7521865889212828,
+      "acc_norm_stderr,none": 0.013465690815995864,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.31681243926141883,
+      "exact_match_stderr,score-first": 0.014510237818427491,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577794,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577794,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5306122448979592,
+      "acc_stderr,none": 0.015207109051465448,
+      "acc_norm,none": 0.5306122448979592,
+      "acc_norm_stderr,none": 0.015207109051465448,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.029684601113172542,
+      "exact_match_stderr,score-first": 0.005171472491890274,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2336198335055847,
+      "acc_stderr,none": 0.026920805296030807,
+      "acc_norm,none": 0.3271812300197981,
+      "acc_norm_stderr,none": 0.017238599842726708,
+      "exact_match,score-first": 0.11577599550913911,
+      "exact_match_stderr,score-first": 0.0592117622803141,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/7B_high_base/epoch_0_hf",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out29/results_7B_high_base/epoch_1-0_polish/results.json b/pl/polish_benchmarks-out29/results_7B_high_base/epoch_1-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..25e3c087e1cc5069737117ed82634844003cf68f
--- /dev/null
+++ b/pl/polish_benchmarks-out29/results_7B_high_base/epoch_1-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2700555986241329,
+      "acc_stderr,none": 0.02208467257506076,
+      "acc_norm,none": 0.272919038798083,
+      "acc_norm_stderr,none": 0.02181568882005046,
+      "exact_match,score-first": 0.14758581682333663,
+      "exact_match_stderr,score-first": 0.05191335580305247,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.23444444444444446,
+      "acc_stderr,none": 0.01412955496811077,
+      "acc_norm,none": 0.23444444444444446,
+      "acc_norm_stderr,none": 0.01412955496811077,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.1994459833795014,
+      "exact_match_stderr,score-first": 0.014881281612540716,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.1703601108033241,
+      "acc_stderr,none": 0.014001067100723125,
+      "acc_norm,none": 0.1703601108033241,
+      "acc_norm_stderr,none": 0.014001067100723125,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.11133603238866396,
+      "exact_match_stderr,score-first": 0.014166520561832872,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.018218623481781375,
+      "acc_stderr,none": 0.006023400150382136,
+      "acc_norm,none": 0.018218623481781375,
+      "acc_norm_stderr,none": 0.006023400150382136,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.2301006404391583,
+      "acc_stderr,none": 0.006366276392888534,
+      "acc_norm,none": 0.23627630375114364,
+      "acc_norm_stderr,none": 0.006425217207249941,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.1395242451967063,
+      "exact_match_stderr,score-first": 0.00524087445831799,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.16555555555555557,
+      "exact_match_stderr,score-first": 0.01239626202137615,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8172983479105929,
+      "acc_stderr,none": 0.012052162826921252,
+      "acc_norm,none": 0.8172983479105929,
+      "acc_norm_stderr,none": 0.012052162826921252,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.10884353741496598,
+      "exact_match_stderr,score-first": 0.009713634255287276,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.418,
+      "acc_stderr,none": 0.015605111967541944,
+      "acc_norm,none": 0.418,
+      "acc_norm_stderr,none": 0.015605111967541944,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.003,
+      "exact_match_stderr,score-first": 0.0017303161543469401,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.34137291280148424,
+      "acc_stderr,none": 0.014448623392094176,
+      "acc_norm,none": 0.34137291280148424,
+      "acc_norm_stderr,none": 0.014448623392094176,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.03432282003710575,
+      "exact_match_stderr,score-first": 0.005547529422575579,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2700555986241329,
+      "acc_stderr,none": 0.02208467257506076,
+      "acc_norm,none": 0.272919038798083,
+      "acc_norm_stderr,none": 0.02181568882005046,
+      "exact_match,score-first": 0.14758581682333663,
+      "exact_match_stderr,score-first": 0.05191335580305247,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/7B_high_base/epoch_1_hf",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out3/results_APT3-1B-Base-0_polish/results.json b/pl/polish_benchmarks-out3/results_APT3-1B-Base-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..9fbc2d0402f878619968c52bf0866974defd0134
--- /dev/null
+++ b/pl/polish_benchmarks-out3/results_APT3-1B-Base-0_polish/results.json
@@ -0,0 +1,909 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2469516433240102,
+      "acc_stderr,none": 0.002521729293912833,
+      "acc_norm,none": 0.18576755323628613,
+      "acc_norm_stderr,none": 0.005694795296320046,
+      "f1,score-first": 0.045672385611171505,
+      "f1_stderr,score-first": 0.024089620479639893,
+      "accuracy,score-first": 0.045672385611171505,
+      "accuracy_stderr,score-first": 0.024089620479639893,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22111111111111112,
+      "acc_stderr,none": 0.013840863699859518,
+      "acc_norm,none": 0.22111111111111112,
+      "acc_norm_stderr,none": 0.013840863699859518,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.03185595567867036,
+      "f1_stderr,score-first": 0.006540300095172154,
+      "accuracy,score-first": 0.03185595567867036,
+      "accuracy_stderr,score-first": 0.006540300095172154,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.3060941828254848,
+      "acc_stderr,none": 0.017163670550803943,
+      "acc_norm,none": 0.16204986149584488,
+      "acc_norm_stderr,none": 0.01372352849077817,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.006072874493927126,
+      "f1_stderr,score-first": 0.003499056577953027,
+      "accuracy,score-first": 0.006072874493927126,
+      "accuracy_stderr,score-first": 0.003499056577953027,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.31781376518218624,
+      "acc_stderr,none": 0.020970769565086228,
+      "acc_norm,none": 0.35020242914979755,
+      "acc_norm_stderr,none": 0.021484495459914724,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.21294602012808783,
+      "acc_stderr,none": 0.006192223457856202,
+      "acc_norm,none": 0.10612991765782251,
+      "acc_norm_stderr,none": 0.004658710368821291,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.08828911253430924,
+      "f1_stderr,score-first": 0.0042913283228207064,
+      "accuracy,score-first": 0.08828911253430924,
+      "accuracy_stderr,score-first": 0.0042913283228207064,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.06333333333333334,
+      "f1_stderr,score-first": 0.008123232055260209,
+      "accuracy,score-first": 0.06333333333333334,
+      "accuracy_stderr,score-first": 0.008123232055260209,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.2196307094266278,
+      "acc_stderr,none": 0.01291219452361766,
+      "acc_norm,none": 0.2196307094266278,
+      "acc_norm_stderr,none": 0.01291219452361766,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577797,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577797,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.003,
+      "f1_stderr,score-first": 0.0017303161543469228,
+      "accuracy,score-first": 0.003,
+      "accuracy_stderr,score-first": 0.0017303161543469228,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3079777365491651,
+      "acc_stderr,none": 0.014067335427669261,
+      "acc_norm,none": 0.3079777365491651,
+      "acc_norm_stderr,none": 0.014067335427669261,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.06771799628942486,
+      "f1_stderr,score-first": 0.0076562807170192275,
+      "accuracy,score-first": 0.06771799628942486,
+      "accuracy_stderr,score-first": 0.0076562807170192275,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2469516433240102,
+      "acc_stderr,none": 0.002521729293912833,
+      "acc_norm,none": 0.18576755323628613,
+      "acc_norm_stderr,none": 0.005694795296320046,
+      "f1,score-first": 0.045672385611171505,
+      "f1_stderr,score-first": 0.024089620479639893,
+      "accuracy,score-first": 0.045672385611171505,
+      "accuracy_stderr,score-first": 0.024089620479639893,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out3/results_APT3-1B-Base-5_polish/results.json b/pl/polish_benchmarks-out3/results_APT3-1B-Base-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..65f97a51118cca50e866f776f3fd1414056d8f1b
--- /dev/null
+++ b/pl/polish_benchmarks-out3/results_APT3-1B-Base-5_polish/results.json
@@ -0,0 +1,909 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.3072715967681741,
+      "acc_stderr,none": 0.01969090193138441,
+      "acc_norm,none": 0.2568383472880424,
+      "acc_norm_stderr,none": 0.025431041932479657,
+      "f1,score-first": 0.005671732362664017,
+      "f1_stderr,score-first": 0.0060835998620534645,
+      "accuracy,score-first": 0.005671732362664017,
+      "accuracy_stderr,score-first": 0.0060835998620534645,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.25666666666666665,
+      "acc_stderr,none": 0.014567891342380032,
+      "acc_norm,none": 0.25666666666666665,
+      "acc_norm_stderr,none": 0.014567891342380032,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.389196675900277,
+      "acc_stderr,none": 0.018157983819187574,
+      "acc_norm,none": 0.2673130193905817,
+      "acc_norm_stderr,none": 0.016481686935413936,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.37449392712550605,
+      "acc_stderr,none": 0.021797901981018206,
+      "acc_norm,none": 0.36639676113360325,
+      "acc_norm_stderr,none": 0.021700065645408245,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.20288197621225984,
+      "acc_stderr,none": 0.00608264743751534,
+      "acc_norm,none": 0.11939615736505033,
+      "acc_norm_stderr,none": 0.004904503623515018,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.01989935956084172,
+      "f1_stderr,score-first": 0.0021123432094103728,
+      "accuracy,score-first": 0.01989935956084172,
+      "accuracy_stderr,score-first": 0.0021123432094103728,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.0011111111111111111,
+      "f1_stderr,score-first": 0.0011111111111111124,
+      "accuracy,score-first": 0.0011111111111111111,
+      "accuracy_stderr,score-first": 0.0011111111111111124,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7677356656948494,
+      "acc_stderr,none": 0.013170448486721168,
+      "acc_norm,none": 0.7677356656948494,
+      "acc_norm_stderr,none": 0.013170448486721168,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.0009718172983479105,
+      "f1_stderr,score-first": 0.0009718172983479058,
+      "accuracy,score-first": 0.0009718172983479105,
+      "accuracy_stderr,score-first": 0.0009718172983479058,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.329,
+      "acc_stderr,none": 0.014865395385928367,
+      "acc_norm,none": 0.329,
+      "acc_norm_stderr,none": 0.014865395385928367,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.588126159554731,
+      "acc_stderr,none": 0.014997176459791973,
+      "acc_norm,none": 0.588126159554731,
+      "acc_norm_stderr,none": 0.014997176459791973,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.3072715967681741,
+      "acc_stderr,none": 0.01969090193138441,
+      "acc_norm,none": 0.2568383472880424,
+      "acc_norm_stderr,none": 0.025431041932479657,
+      "f1,score-first": 0.005671732362664017,
+      "f1_stderr,score-first": 0.0060835998620534645,
+      "accuracy,score-first": 0.005671732362664017,
+      "accuracy_stderr,score-first": 0.0060835998620534645,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out3/results_trurl-2-13b-academic_8bits-0_polish/results.json b/pl/polish_benchmarks-out3/results_trurl-2-13b-academic_8bits-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..ac4c61e04f326d2084ea941225c9645e32148b92
--- /dev/null
+++ b/pl/polish_benchmarks-out3/results_trurl-2-13b-academic_8bits-0_polish/results.json
@@ -0,0 +1,909 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.5485088323770747,
+      "acc_stderr,none": 0.006173394316567496,
+      "acc_norm,none": 0.5613679808033012,
+      "acc_norm_stderr,none": 0.008184643816451457,
+      "f1,score-first": 0.5560581187634298,
+      "f1_stderr,score-first": 0.10012844040270957,
+      "accuracy,score-first": 0.5560581187634298,
+      "accuracy_stderr,score-first": 0.10012844040270957,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.5077777777777778,
+      "acc_stderr,none": 0.016673915944964764,
+      "acc_norm,none": 0.5077777777777778,
+      "acc_norm_stderr,none": 0.016673915944964764,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.554016620498615,
+      "f1_stderr,score-first": 0.018511989768822235,
+      "accuracy,score-first": 0.554016620498615,
+      "accuracy_stderr,score-first": 0.018511989768822235,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.27285318559556787,
+      "acc_stderr,none": 0.016588531234686118,
+      "acc_norm,none": 0.20221606648199447,
+      "acc_norm_stderr,none": 0.01495832068619682,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.5566801619433198,
+      "f1_stderr,score-first": 0.0223737095446236,
+      "accuracy,score-first": 0.5566801619433198,
+      "accuracy_stderr,score-first": 0.0223737095446236,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.3299595141700405,
+      "acc_stderr,none": 0.02117665642255094,
+      "acc_norm,none": 0.3340080971659919,
+      "acc_norm_stderr,none": 0.021241711816127367,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6365507776761208,
+      "acc_stderr,none": 0.007275251233570105,
+      "acc_norm,none": 0.6779505946935042,
+      "acc_norm_stderr,none": 0.0070675659629489225,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.6564501372369624,
+      "f1_stderr,score-first": 0.007182991593741683,
+      "accuracy,score-first": 0.6564501372369624,
+      "accuracy_stderr,score-first": 0.007182991593741683,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.5433333333333333,
+      "f1_stderr,score-first": 0.016613188209796736,
+      "accuracy,score-first": 0.5433333333333333,
+      "accuracy_stderr,score-first": 0.016613188209796736,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.5481049562682215,
+      "acc_stderr,none": 0.01552222935866704,
+      "acc_norm,none": 0.5481049562682215,
+      "acc_norm_stderr,none": 0.01552222935866704,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.1749271137026239,
+      "f1_stderr,score-first": 0.011848903583973948,
+      "accuracy,score-first": 0.1749271137026239,
+      "accuracy_stderr,score-first": 0.011848903583973948,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.449,
+      "acc_stderr,none": 0.015736792768752016,
+      "acc_norm,none": 0.449,
+      "acc_norm_stderr,none": 0.015736792768752016,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.46,
+      "f1_stderr,score-first": 0.01576859691439438,
+      "accuracy,score-first": 0.46,
+      "accuracy_stderr,score-first": 0.01576859691439438,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.725417439703154,
+      "acc_stderr,none": 0.01359948992290204,
+      "acc_norm,none": 0.725417439703154,
+      "acc_norm_stderr,none": 0.01359948992290204,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.5918367346938775,
+      "f1_stderr,score-first": 0.014976490836384216,
+      "accuracy,score-first": 0.5918367346938775,
+      "accuracy_stderr,score-first": 0.014976490836384216,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.5485088323770747,
+      "acc_stderr,none": 0.006173394316567496,
+      "acc_norm,none": 0.5613679808033012,
+      "acc_norm_stderr,none": 0.008184643816451457,
+      "f1,score-first": 0.5560581187634298,
+      "f1_stderr,score-first": 0.10012844040270957,
+      "accuracy,score-first": 0.5560581187634298,
+      "accuracy_stderr,score-first": 0.10012844040270957,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-13b-academic",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out3/results_trurl-2-13b-academic_8bits-5_polish/results.json b/pl/polish_benchmarks-out3/results_trurl-2-13b-academic_8bits-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..247d41e2080935120a91c9769529c34b8b3ccff5
--- /dev/null
+++ b/pl/polish_benchmarks-out3/results_trurl-2-13b-academic_8bits-5_polish/results.json
@@ -0,0 +1,909 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.6909875335084427,
+      "acc_stderr,none": 0.002490282990009024,
+      "acc_norm,none": 0.6759555584655783,
+      "acc_norm_stderr,none": 0.0029166849597336824,
+      "f1,score-first": 0.0013844150130202962,
+      "f1_stderr,score-first": 0.0033066499073228324,
+      "accuracy,score-first": 0.0013844150130202962,
+      "accuracy_stderr,score-first": 0.0033066499073228324,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.5988888888888889,
+      "acc_stderr,none": 0.01634653197204682,
+      "acc_norm,none": 0.5988888888888889,
+      "acc_norm_stderr,none": 0.01634653197204682,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7354570637119113,
+      "acc_stderr,none": 0.016427032419243197,
+      "acc_norm,none": 0.7174515235457064,
+      "acc_norm_stderr,none": 0.01676776326031666,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.680161943319838,
+      "acc_stderr,none": 0.021006213423459357,
+      "acc_norm,none": 0.7145748987854251,
+      "acc_norm_stderr,none": 0.020339791674885362,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6944190301921317,
+      "acc_stderr,none": 0.006967605545786545,
+      "acc_norm,none": 0.6617108874656907,
+      "acc_norm_stderr,none": 0.007156286964581417,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.0011436413540713633,
+      "f1_stderr,score-first": 0.0005112178877799558,
+      "accuracy,score-first": 0.0011436413540713633,
+      "accuracy_stderr,score-first": 0.0005112178877799558,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.014444444444444444,
+      "f1_stderr,score-first": 0.003979340763667784,
+      "accuracy,score-first": 0.014444444444444444,
+      "accuracy_stderr,score-first": 0.003979340763667784,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8396501457725948,
+      "acc_stderr,none": 0.011444238796485666,
+      "acc_norm,none": 0.8396501457725948,
+      "acc_norm_stderr,none": 0.011444238796485666,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.003887269193391642,
+      "f1_stderr,score-first": 0.0019407964818744252,
+      "accuracy,score-first": 0.003887269193391642,
+      "accuracy_stderr,score-first": 0.0019407964818744252,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.749,
+      "acc_stderr,none": 0.013718133516888909,
+      "acc_norm,none": 0.749,
+      "acc_norm_stderr,none": 0.013718133516888909,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.7077922077922078,
+      "acc_stderr,none": 0.013857692920998926,
+      "acc_norm,none": 0.7077922077922078,
+      "acc_norm_stderr,none": 0.013857692920998926,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.6909875335084427,
+      "acc_stderr,none": 0.002490282990009024,
+      "acc_norm,none": 0.6759555584655783,
+      "acc_norm_stderr,none": 0.0029166849597336824,
+      "f1,score-first": 0.0013844150130202962,
+      "f1_stderr,score-first": 0.0033066499073228324,
+      "accuracy,score-first": 0.0013844150130202962,
+      "accuracy_stderr,score-first": 0.0033066499073228324,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-13b-academic",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out3/results_trurl-2-7b-0_polish/results.json b/pl/polish_benchmarks-out3/results_trurl-2-7b-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..414f7c68862e777f0adfd0f39e10c3bb079c77c2
--- /dev/null
+++ b/pl/polish_benchmarks-out3/results_trurl-2-7b-0_polish/results.json
@@ -0,0 +1,909 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.3843123094705269,
+      "acc_stderr,none": 0.00951129970699575,
+      "acc_norm,none": 0.3854788962080621,
+      "acc_norm_stderr,none": 0.009603665213748554,
+      "f1,score-first": 0.5391555729947862,
+      "f1_stderr,score-first": 0.09632164167089087,
+      "accuracy,score-first": 0.5391555729947862,
+      "accuracy_stderr,score-first": 0.09632164167089087,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3877777777777778,
+      "acc_stderr,none": 0.016250478656063556,
+      "acc_norm,none": 0.3877777777777778,
+      "acc_norm_stderr,none": 0.016250478656063556,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.46814404432132967,
+      "f1_stderr,score-first": 0.018583141439294962,
+      "accuracy,score-first": 0.46814404432132967,
+      "accuracy_stderr,score-first": 0.018583141439294962,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16204986149584488,
+      "acc_stderr,none": 0.013723528490778158,
+      "acc_norm,none": 0.16204986149584488,
+      "acc_norm_stderr,none": 0.013723528490778158,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.451417004048583,
+      "f1_stderr,score-first": 0.022412312453243072,
+      "accuracy,score-first": 0.451417004048583,
+      "accuracy_stderr,score-first": 0.022412312453243072,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.0020242914979757085,
+      "acc_stderr,none": 0.0020242914979757094,
+      "acc_norm,none": 0.0020242914979757085,
+      "acc_norm_stderr,none": 0.0020242914979757094,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.5109789569990851,
+      "acc_stderr,none": 0.0075609240976568515,
+      "acc_norm,none": 0.5134949679780421,
+      "acc_norm_stderr,none": 0.00755999243812076,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.668572735590119,
+      "f1_stderr,score-first": 0.007119968035160194,
+      "accuracy,score-first": 0.668572735590119,
+      "accuracy_stderr,score-first": 0.007119968035160194,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.4411111111111111,
+      "f1_stderr,score-first": 0.01655986876017471,
+      "accuracy,score-first": 0.4411111111111111,
+      "accuracy_stderr,score-first": 0.01655986876017471,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.21671525753158405,
+      "acc_stderr,none": 0.012850144766122862,
+      "acc_norm,none": 0.21671525753158405,
+      "acc_norm_stderr,none": 0.012850144766122862,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.8289601554907677,
+      "f1_stderr,score-first": 0.011744077740056324,
+      "accuracy,score-first": 0.8289601554907677,
+      "accuracy_stderr,score-first": 0.011744077740056324,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.327,
+      "acc_stderr,none": 0.014842213153411245,
+      "acc_norm,none": 0.327,
+      "acc_norm_stderr,none": 0.014842213153411245,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.424,
+      "f1_stderr,score-first": 0.015635487471405182,
+      "accuracy,score-first": 0.424,
+      "accuracy_stderr,score-first": 0.015635487471405182,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3070500927643785,
+      "acc_stderr,none": 0.014055544850266423,
+      "acc_norm,none": 0.3070500927643785,
+      "acc_norm_stderr,none": 0.014055544850266423,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.44341372912801486,
+      "f1_stderr,score-first": 0.015137806899417438,
+      "accuracy,score-first": 0.44341372912801486,
+      "accuracy_stderr,score-first": 0.015137806899417438,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.3843123094705269,
+      "acc_stderr,none": 0.00951129970699575,
+      "acc_norm,none": 0.3854788962080621,
+      "acc_norm_stderr,none": 0.009603665213748554,
+      "f1,score-first": 0.5391555729947862,
+      "f1_stderr,score-first": 0.09632164167089087,
+      "accuracy,score-first": 0.5391555729947862,
+      "accuracy_stderr,score-first": 0.09632164167089087,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out3/results_trurl-2-7b-5_polish/results.json b/pl/polish_benchmarks-out3/results_trurl-2-7b-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..c8574c0300d7a6901488ed7374595b0770b804b3
--- /dev/null
+++ b/pl/polish_benchmarks-out3/results_trurl-2-7b-5_polish/results.json
@@ -0,0 +1,909 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.5722272648554152,
+      "acc_stderr,none": 0.008113372702869761,
+      "acc_norm,none": 0.5662992270208923,
+      "acc_norm_stderr,none": 0.007733574809102095,
+      "f1,score-first": 0.0007653598001545787,
+      "f1_stderr,score-first": 0.002777492772401972,
+      "accuracy,score-first": 0.0007653598001545787,
+      "accuracy_stderr,score-first": 0.002777492772401972,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.4822222222222222,
+      "acc_stderr,none": 0.016665389478522245,
+      "acc_norm,none": 0.4822222222222222,
+      "acc_norm_stderr,none": 0.016665389478522245,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.5761772853185596,
+      "acc_stderr,none": 0.01840358996824089,
+      "acc_norm,none": 0.5637119113573407,
+      "acc_norm_stderr,none": 0.018469181600792303,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.20647773279352227,
+      "acc_stderr,none": 0.018230253628820803,
+      "acc_norm,none": 0.2165991902834008,
+      "acc_norm_stderr,none": 0.01855226601097392,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6404391582799634,
+      "acc_stderr,none": 0.007258296916623333,
+      "acc_norm,none": 0.6290027447392498,
+      "acc_norm_stderr,none": 0.007306698973240569,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.00022872827081427266,
+      "f1_stderr,score-first": 0.0002287282708142974,
+      "accuracy,score-first": 0.00022872827081427266,
+      "accuracy_stderr,score-first": 0.0002287282708142974,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.012222222222222223,
+      "f1_stderr,score-first": 0.003664585575115516,
+      "accuracy,score-first": 0.012222222222222223,
+      "accuracy_stderr,score-first": 0.003664585575115516,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7842565597667639,
+      "acc_stderr,none": 0.012829251604102334,
+      "acc_norm,none": 0.7842565597667639,
+      "acc_norm_stderr,none": 0.012829251604102334,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.434,
+      "acc_stderr,none": 0.015680876566375058,
+      "acc_norm,none": 0.434,
+      "acc_norm_stderr,none": 0.015680876566375058,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5769944341372912,
+      "acc_stderr,none": 0.015053968438561039,
+      "acc_norm,none": 0.5769944341372912,
+      "acc_norm_stderr,none": 0.015053968438561039,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.5722272648554152,
+      "acc_stderr,none": 0.008113372702869761,
+      "acc_norm,none": 0.5662992270208923,
+      "acc_norm_stderr,none": 0.007733574809102095,
+      "f1,score-first": 0.0007653598001545787,
+      "f1_stderr,score-first": 0.002777492772401972,
+      "accuracy,score-first": 0.0007653598001545787,
+      "accuracy_stderr,score-first": 0.002777492772401972,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out3/results_zephyr-7b-alpha-0_polish/results.json b/pl/polish_benchmarks-out3/results_zephyr-7b-alpha-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..9a36bfd7b60505cd65c75b40d621def36c6d27e5
--- /dev/null
+++ b/pl/polish_benchmarks-out3/results_zephyr-7b-alpha-0_polish/results.json
@@ -0,0 +1,909 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.5938482882361124,
+      "acc_stderr,none": 0.01302036202182922,
+      "acc_norm,none": 0.5926817014985772,
+      "acc_norm_stderr,none": 0.013099605247727762,
+      "f1,score-first": 0.5767785672018283,
+      "f1_stderr,score-first": 0.14279490918044047,
+      "accuracy,score-first": 0.5767785672018283,
+      "accuracy_stderr,score-first": 0.14279490918044047,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.43222222222222223,
+      "acc_stderr,none": 0.016522010560746377,
+      "acc_norm,none": 0.43222222222222223,
+      "acc_norm_stderr,none": 0.016522010560746377,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.6260387811634349,
+      "f1_stderr,score-first": 0.018019646607514046,
+      "accuracy,score-first": 0.6260387811634349,
+      "accuracy_stderr,score-first": 0.018019646607514046,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6952908587257618,
+      "acc_stderr,none": 0.01714187678361301,
+      "acc_norm,none": 0.6952908587257618,
+      "acc_norm_stderr,none": 0.017141876783613008,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.6194331983805668,
+      "f1_stderr,score-first": 0.021867001226647954,
+      "accuracy,score-first": 0.6194331983805668,
+      "accuracy_stderr,score-first": 0.021867001226647954,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.7206477732793523,
+      "acc_stderr,none": 0.020207571941891926,
+      "acc_norm,none": 0.7388663967611336,
+      "acc_norm_stderr,none": 0.01978294204972309,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7083714547118024,
+      "acc_stderr,none": 0.006874721963326569,
+      "acc_norm,none": 0.703796889295517,
+      "acc_norm_stderr,none": 0.006906023881086204,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.673604757548033,
+      "f1_stderr,score-first": 0.0070922507124707036,
+      "accuracy,score-first": 0.673604757548033,
+      "accuracy_stderr,score-first": 0.0070922507124707036,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.6511111111111111,
+      "f1_stderr,score-first": 0.015896125275520714,
+      "accuracy,score-first": 0.6511111111111111,
+      "accuracy_stderr,score-first": 0.015896125275520714,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.3080660835762877,
+      "acc_stderr,none": 0.014399840970204332,
+      "acc_norm,none": 0.3080660835762877,
+      "acc_norm_stderr,none": 0.014399840970204332,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.16909620991253643,
+      "f1_stderr,score-first": 0.011690840877120627,
+      "accuracy,score-first": 0.16909620991253643,
+      "accuracy_stderr,score-first": 0.011690840877120627,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.396,
+      "acc_stderr,none": 0.01547331326585941,
+      "acc_norm,none": 0.396,
+      "acc_norm_stderr,none": 0.01547331326585941,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.397,
+      "f1_stderr,score-first": 0.015480007449307985,
+      "accuracy,score-first": 0.397,
+      "accuracy_stderr,score-first": 0.015480007449307985,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5037105751391465,
+      "acc_stderr,none": 0.015235271336430135,
+      "acc_norm,none": 0.5037105751391465,
+      "acc_norm_stderr,none": 0.015235271336430135,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.21799628942486085,
+      "f1_stderr,score-first": 0.012581172180202597,
+      "accuracy,score-first": 0.21799628942486085,
+      "accuracy_stderr,score-first": 0.012581172180202597,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.5938482882361124,
+      "acc_stderr,none": 0.01302036202182922,
+      "acc_norm,none": 0.5926817014985772,
+      "acc_norm_stderr,none": 0.013099605247727762,
+      "f1,score-first": 0.5767785672018283,
+      "f1_stderr,score-first": 0.14279490918044047,
+      "accuracy,score-first": 0.5767785672018283,
+      "accuracy_stderr,score-first": 0.14279490918044047,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/results.json b/pl/polish_benchmarks-out30/results_7B_high_base/epoch_0-5_polish/results.json
similarity index 99%
rename from pl/results.json
rename to pl/polish_benchmarks-out30/results_7B_high_base/epoch_0-5_polish/results.json
index 026a7956dc77667ef46ee8732f4ae5850900fc9b..7e7bdeceaa0e597bac6ccad4daf1f62cc70dbcc6 100644
--- a/pl/results.json
+++ b/pl/polish_benchmarks-out30/results_7B_high_base/epoch_0-5_polish/results.json
@@ -17,8 +17,8 @@
       "alias": " - belebele_pol_Latn"
     },
     "polemo2_in": {
-      "exact_match,score-first": 0.12,
-      "exact_match_stderr,score-first": 0.13,
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
       "alias": " - polemo2_in"
     },
     "polemo2_in_multiple_choice": {
@@ -744,4 +744,4 @@
     "gen_kwargs": null
   },
   "git_hash": null
-}
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out30/results_7B_high_base/epoch_1-5_polish/results.json b/pl/polish_benchmarks-out30/results_7B_high_base/epoch_1-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..f2d2db9b9de9014ec5be18c700ddff1beeacd182
--- /dev/null
+++ b/pl/polish_benchmarks-out30/results_7B_high_base/epoch_1-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2998462162101068,
+      "acc_stderr,none": 0.016880288974150053,
+      "acc_norm,none": 0.2741309055011799,
+      "acc_norm_stderr,none": 0.018702688695845612,
+      "exact_match,score-first": 0.002470807014915674,
+      "exact_match_stderr,score-first": 0.0021284939051345888,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2288888888888889,
+      "acc_stderr,none": 0.014011705158884512,
+      "acc_norm,none": 0.2288888888888889,
+      "acc_norm_stderr,none": 0.014011705158884512,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0013850415512465374,
+      "exact_match_stderr,score-first": 0.0013850415512465307,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.2077562326869806,
+      "acc_stderr,none": 0.015109107598026122,
+      "acc_norm,none": 0.19806094182825484,
+      "acc_norm_stderr,none": 0.014842343237320138,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.05465587044534413,
+      "acc_stderr,none": 0.010237405686752042,
+      "acc_norm,none": 0.06680161943319839,
+      "acc_norm_stderr,none": 0.011244936933641859,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.2936870997255261,
+      "acc_stderr,none": 0.006888911431040282,
+      "acc_norm,none": 0.23879231473010065,
+      "acc_norm_stderr,none": 0.006448687794813681,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.0052607502287282705,
+      "exact_match_stderr,score-first": 0.0010941782189292076,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.006666666666666667,
+      "exact_match_stderr,score-first": 0.002714076153764683,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7881438289601554,
+      "acc_stderr,none": 0.012744615626342349,
+      "acc_norm,none": 0.7881438289601554,
+      "acc_norm_stderr,none": 0.012744615626342349,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0009718172983479105,
+      "exact_match_stderr,score-first": 0.0009718172983479061,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.408,
+      "acc_stderr,none": 0.015549205052920675,
+      "acc_norm,none": 0.408,
+      "acc_norm_stderr,none": 0.015549205052920675,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3172541743970315,
+      "acc_stderr,none": 0.014181603788094384,
+      "acc_norm,none": 0.3172541743970315,
+      "acc_norm_stderr,none": 0.014181603788094384,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2998462162101068,
+      "acc_stderr,none": 0.016880288974150053,
+      "acc_norm,none": 0.2741309055011799,
+      "acc_norm_stderr,none": 0.018702688695845612,
+      "exact_match,score-first": 0.002470807014915674,
+      "exact_match_stderr,score-first": 0.0021284939051345888,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/7B_high_base/epoch_1_hf",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_3-5B_high_base/epoch_0-0_polish/results.json b/pl/polish_benchmarks-out31m/results_3-5B_high_base/epoch_0-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..560a2ebff3e8e0427f0e31d245078dacafe3ea23
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_3-5B_high_base/epoch_0-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.30343739166307765,
+      "acc_stderr,none": 0.008881901595544806,
+      "acc_norm,none": 0.203082880583746,
+      "acc_norm_stderr,none": 0.01666082837627261,
+      "exact_match,score-first": 0.18264109946419546,
+      "exact_match_stderr,score-first": 0.09073722328035609,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.23222222222222222,
+      "acc_stderr,none": 0.014082825936214571,
+      "acc_norm,none": 0.23222222222222222,
+      "acc_norm_stderr,none": 0.014082825936214571,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.20637119113573407,
+      "exact_match_stderr,score-first": 0.015071817101529656,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.18698060941828254,
+      "acc_stderr,none": 0.014520484412463881,
+      "acc_norm,none": 0.1786703601108033,
+      "acc_norm_stderr,none": 0.014266497739018435,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.05668016194331984,
+      "exact_match_stderr,score-first": 0.010414095727829482,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.032388663967611336,
+      "acc_stderr,none": 0.007973032439158367,
+      "acc_norm,none": 0.05060728744939271,
+      "acc_norm_stderr,none": 0.00987201978614445,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.32410795974382434,
+      "acc_stderr,none": 0.007079345550191605,
+      "acc_norm,none": 0.10727355901189387,
+      "acc_norm_stderr,none": 0.004680746707408875,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.13357731015553523,
+      "exact_match_stderr,score-first": 0.005145657220721404,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.19333333333333333,
+      "exact_match_stderr,score-first": 0.013171055481963482,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.6034985422740525,
+      "acc_stderr,none": 0.015256817438550516,
+      "acc_norm,none": 0.6034985422740525,
+      "acc_norm_stderr,none": 0.015256817438550516,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.29931972789115646,
+      "exact_match_stderr,score-first": 0.014283382238037849,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.371,
+      "acc_stderr,none": 0.015283736211823185,
+      "acc_norm,none": 0.371,
+      "acc_norm_stderr,none": 0.015283736211823185,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.01,
+      "exact_match_stderr,score-first": 0.003148000938676776,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.41836734693877553,
+      "acc_stderr,none": 0.01503126144925885,
+      "acc_norm,none": 0.41836734693877553,
+      "acc_norm_stderr,none": 0.01503126144925885,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.47959183673469385,
+      "exact_match_stderr,score-first": 0.015222994472125434,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.30343739166307765,
+      "acc_stderr,none": 0.008881901595544806,
+      "acc_norm,none": 0.203082880583746,
+      "acc_norm_stderr,none": 0.01666082837627261,
+      "exact_match,score-first": 0.18264109946419546,
+      "exact_match_stderr,score-first": 0.09073722328035609,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_base/epoch_3_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_3-5B_high_base/epoch_0-5_polish/results.json b/pl/polish_benchmarks-out31m/results_3-5B_high_base/epoch_0-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..3e90819d06dca214dd32fa1d141f551ce89db500
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_3-5B_high_base/epoch_0-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.25903351736541014,
+      "acc_stderr,none": 0.010438326051232693,
+      "acc_norm,none": 0.23145349575822174,
+      "acc_norm_stderr,none": 0.013017449402925093,
+      "exact_match,score-first": 0.028198042887694997,
+      "exact_match_stderr,score-first": 0.023927196854094945,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22555555555555556,
+      "acc_stderr,none": 0.013939334910458139,
+      "acc_norm,none": 0.22555555555555556,
+      "acc_norm_stderr,none": 0.013939334910458139,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.038781163434903045,
+      "exact_match_stderr,score-first": 0.007190414407986777,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.3268698060941828,
+      "acc_stderr,none": 0.017469050736806647,
+      "acc_norm,none": 0.29362880886426596,
+      "acc_norm_stderr,none": 0.016960872466519727,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.01417004048582996,
+      "exact_match_stderr,score-first": 0.005323081211773867,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.24898785425101214,
+      "acc_stderr,none": 0.019475521781306328,
+      "acc_norm,none": 0.24696356275303644,
+      "acc_norm_stderr,none": 0.0194223142525205,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.1779505946935041,
+      "acc_stderr,none": 0.005785065471352095,
+      "acc_norm,none": 0.1253430924062214,
+      "acc_norm_stderr,none": 0.00500816541204349,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.00960658737419945,
+      "exact_match_stderr,score-first": 0.001475360109302563,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.03,
+      "exact_match_stderr,score-first": 0.005689402360648937,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.4868804664723032,
+      "acc_stderr,none": 0.015589202271791513,
+      "acc_norm,none": 0.4868804664723032,
+      "acc_norm_stderr,none": 0.015589202271791513,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0009718172983479105,
+      "exact_match_stderr,score-first": 0.0009718172983478995,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.367,
+      "acc_stderr,none": 0.015249378464171749,
+      "acc_norm,none": 0.367,
+      "acc_norm_stderr,none": 0.015249378464171749,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.004,
+      "exact_match_stderr,score-first": 0.00199699473909873,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5565862708719852,
+      "acc_stderr,none": 0.015137806899417456,
+      "acc_norm,none": 0.5565862708719852,
+      "acc_norm_stderr,none": 0.015137806899417456,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.11688311688311688,
+      "exact_match_stderr,score-first": 0.009789874720756235,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.25903351736541014,
+      "acc_stderr,none": 0.010438326051232693,
+      "acc_norm,none": 0.23145349575822174,
+      "acc_norm_stderr,none": 0.013017449402925093,
+      "exact_match,score-first": 0.028198042887694997,
+      "exact_match_stderr,score-first": 0.023927196854094945,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_base/epoch_3_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_0/epoch_0-0_polish/results.json b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_0/epoch_0-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..70057d89e428fe3ee75bdc84be675281d721b5ae
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_0/epoch_0-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.21689532247340745,
+      "acc_stderr,none": 0.028015437151548733,
+      "acc_norm,none": 0.21956900679965255,
+      "acc_norm_stderr,none": 0.02767572787332479,
+      "exact_match,score-first": 0.1353614008342345,
+      "exact_match_stderr,score-first": 0.0555598092003974,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22444444444444445,
+      "acc_stderr,none": 0.013914930474237287,
+      "acc_norm,none": 0.22444444444444445,
+      "acc_norm_stderr,none": 0.013914930474237287,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.16204986149584488,
+      "exact_match_stderr,score-first": 0.013723528490778158,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16204986149584488,
+      "acc_stderr,none": 0.013723528490778158,
+      "acc_norm,none": 0.1634349030470914,
+      "acc_norm_stderr,none": 0.01377065643025864,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0020242914979757085,
+      "exact_match_stderr,score-first": 0.0020242914979757094,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.0020242914979757085,
+      "acc_stderr,none": 0.0020242914979757094,
+      "acc_norm,none": 0.0020242914979757085,
+      "acc_norm_stderr,none": 0.0020242914979757094,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.12602927721866422,
+      "acc_stderr,none": 0.005019884927107388,
+      "acc_norm,none": 0.13151875571820676,
+      "acc_norm_stderr,none": 0.005111915477323272,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.12854528819762123,
+      "exact_match_stderr,score-first": 0.0050624423325231725,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.1922222222222222,
+      "exact_match_stderr,score-first": 0.013142194844236793,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.6579203109815355,
+      "acc_stderr,none": 0.014796320639090099,
+      "acc_norm,none": 0.6579203109815355,
+      "acc_norm_stderr,none": 0.014796320639090099,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0009718172983479105,
+      "exact_match_stderr,score-first": 0.0009718172983478971,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.213,
+      "acc_stderr,none": 0.01295371756673723,
+      "acc_norm,none": 0.213,
+      "acc_norm_stderr,none": 0.01295371756673723,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.245,
+      "exact_match_stderr,score-first": 0.013607356839598113,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6966604823747681,
+      "acc_stderr,none": 0.014007712912934109,
+      "acc_norm,none": 0.6966604823747681,
+      "acc_norm_stderr,none": 0.014007712912934109,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.15862708719851576,
+      "exact_match_stderr,score-first": 0.011132048408500728,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.21689532247340745,
+      "acc_stderr,none": 0.028015437151548733,
+      "acc_norm,none": 0.21956900679965255,
+      "acc_norm_stderr,none": 0.02767572787332479,
+      "exact_match,score-first": 0.1353614008342345,
+      "exact_match_stderr,score-first": 0.0555598092003974,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_sft/epoch_0_base/epoch_0_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_0/epoch_0-5_polish/results.json b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_0/epoch_0-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..99ca48a449e22d57aaf8e8459460948108370e43
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_0/epoch_0-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.3096688753377108,
+      "acc_stderr,none": 0.02964928030353776,
+      "acc_norm,none": 0.24985479170408875,
+      "acc_norm_stderr,none": 0.03799282359319314,
+      "exact_match,score-first": 0.14694957012221427,
+      "exact_match_stderr,score-first": 0.0477254828912551,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.21666666666666667,
+      "acc_stderr,none": 0.01374008783070017,
+      "acc_norm,none": 0.21666666666666667,
+      "acc_norm_stderr,none": 0.01374008783070017,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.17590027700831026,
+      "exact_match_stderr,score-first": 0.014179323578305522,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.17174515235457063,
+      "acc_stderr,none": 0.014046127446788355,
+      "acc_norm,none": 0.17174515235457063,
+      "acc_norm_stderr,none": 0.014046127446788355,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.05668016194331984,
+      "exact_match_stderr,score-first": 0.010414095727829493,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.006072874493927126,
+      "acc_stderr,none": 0.003499056577953027,
+      "acc_norm,none": 0.006072874493927126,
+      "acc_norm_stderr,none": 0.003499056577953027,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.27721866422689845,
+      "acc_stderr,none": 0.006770555378979044,
+      "acc_norm,none": 0.14821591948764867,
+      "acc_norm_stderr,none": 0.005374298477214068,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.12580054894784995,
+      "exact_match_stderr,score-first": 0.005015983850697009,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.22444444444444445,
+      "exact_match_stderr,score-first": 0.013914930474237287,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8318756073858115,
+      "acc_stderr,none": 0.01166401318259015,
+      "acc_norm,none": 0.8318756073858115,
+      "acc_norm_stderr,none": 0.01166401318259015,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.02040816326530612,
+      "exact_match_stderr,score-first": 0.004409892282034388,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.417,
+      "acc_stderr,none": 0.015599819048769618,
+      "acc_norm,none": 0.417,
+      "acc_norm_stderr,none": 0.015599819048769618,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.171,
+      "exact_match_stderr,score-first": 0.011912216456264585,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.21428571428571427,
+      "exact_match_stderr,score-first": 0.012503197248997134,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.3096688753377108,
+      "acc_stderr,none": 0.02964928030353776,
+      "acc_norm,none": 0.24985479170408875,
+      "acc_norm_stderr,none": 0.03799282359319314,
+      "exact_match,score-first": 0.14694957012221427,
+      "exact_match_stderr,score-first": 0.0477254828912551,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_sft/epoch_0_base/epoch_0_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_1-0_polish/results.json b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_1-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..0a6c14728a6dc7a99d81293ff5cdd9e30fb7ff35
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_1-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2217335631409094,
+      "acc_stderr,none": 0.032622836463403394,
+      "acc_norm,none": 0.22684647428200078,
+      "acc_norm_stderr,none": 0.031946861687101584,
+      "exact_match,score-first": 0.12423202346253781,
+      "exact_match_stderr,score-first": 0.050278309171116344,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22444444444444445,
+      "acc_stderr,none": 0.013914930474237287,
+      "acc_norm,none": 0.22444444444444445,
+      "acc_norm_stderr,none": 0.013914930474237287,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.16066481994459833,
+      "exact_match_stderr,score-first": 0.013676043602680793,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16620498614958448,
+      "acc_stderr,none": 0.013863855996474595,
+      "acc_norm,none": 0.16759002770083103,
+      "acc_norm_stderr,none": 0.013909934700735831,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.004048582995951417,
+      "exact_match_stderr,score-first": 0.0028598755883223605,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.004048582995951417,
+      "acc_stderr,none": 0.0028598755883223574,
+      "acc_norm,none": 0.004048582995951417,
+      "acc_norm_stderr,none": 0.0028598755883223574,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.12763037511436415,
+      "acc_stderr,none": 0.005047041633716459,
+      "acc_norm,none": 0.13838060384263495,
+      "acc_norm_stderr,none": 0.00522281858569966,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.1287740164684355,
+      "exact_match_stderr,score-first": 0.0050662792860634775,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.18444444444444444,
+      "exact_match_stderr,score-first": 0.012935395704124301,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7308066083576288,
+      "acc_stderr,none": 0.013833652840550971,
+      "acc_norm,none": 0.7308066083576288,
+      "acc_norm_stderr,none": 0.013833652840550971,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.006802721088435374,
+      "exact_match_stderr,score-first": 0.0025636724468268406,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.177,
+      "acc_stderr,none": 0.012075463420375061,
+      "acc_norm,none": 0.177,
+      "acc_norm_stderr,none": 0.012075463420375061,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.157,
+      "exact_match_stderr,score-first": 0.011510146979230185,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.7133580705009277,
+      "acc_stderr,none": 0.013778939622275646,
+      "acc_norm,none": 0.7133580705009277,
+      "acc_norm_stderr,none": 0.013778939622275646,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.05473098330241188,
+      "exact_match_stderr,score-first": 0.006930849769176935,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2217335631409094,
+      "acc_stderr,none": 0.032622836463403394,
+      "acc_norm,none": 0.22684647428200078,
+      "acc_norm_stderr,none": 0.031946861687101584,
+      "exact_match,score-first": 0.12423202346253781,
+      "exact_match_stderr,score-first": 0.050278309171116344,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_sft/epoch_0_base/epoch_1_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_1-5_polish/results.json b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_1-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..a99ca3bc22373b6fa0463a98b46ff459b57c80e7
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_1-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.28361209854759334,
+      "acc_stderr,none": 0.03083422232611892,
+      "acc_norm,none": 0.23499496726652538,
+      "acc_norm_stderr,none": 0.03672532750503039,
+      "exact_match,score-first": 0.1750451926994051,
+      "exact_match_stderr,score-first": 0.043605475235105676,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.21888888888888888,
+      "acc_stderr,none": 0.013790766978256945,
+      "acc_norm,none": 0.21888888888888888,
+      "acc_norm_stderr,none": 0.013790766978256945,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.18975069252077562,
+      "exact_match_stderr,score-first": 0.014602707518251865,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.18559556786703602,
+      "acc_stderr,none": 0.014478922125954892,
+      "acc_norm,none": 0.18282548476454294,
+      "acc_norm_stderr,none": 0.014394883071700375,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.2773279352226721,
+      "exact_match_stderr,score-first": 0.02016248155384978,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.016194331983805668,
+      "acc_stderr,none": 0.005684767660847455,
+      "acc_norm,none": 0.022267206477732792,
+      "acc_norm_stderr,none": 0.006645375093147282,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.24519670631290028,
+      "acc_stderr,none": 0.006507044939344139,
+      "acc_norm,none": 0.14021043000914912,
+      "acc_norm_stderr,none": 0.005251650835347563,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.1296889295516926,
+      "exact_match_stderr,score-first": 0.005081574574965193,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.23,
+      "exact_match_stderr,score-first": 0.014035549969945596,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8328474246841594,
+      "acc_stderr,none": 0.011637044694546983,
+      "acc_norm,none": 0.8328474246841594,
+      "acc_norm_stderr,none": 0.011637044694546983,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.056365403304178816,
+      "exact_match_stderr,score-first": 0.007193026820403474,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.186,
+      "acc_stderr,none": 0.012310790208412803,
+      "acc_norm,none": 0.186,
+      "acc_norm_stderr,none": 0.012310790208412803,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.175,
+      "exact_match_stderr,score-first": 0.012021627157731987,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.21057513914656772,
+      "exact_match_stderr,score-first": 0.012423704015590962,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.28361209854759334,
+      "acc_stderr,none": 0.03083422232611892,
+      "acc_norm,none": 0.23499496726652538,
+      "acc_norm_stderr,none": 0.03672532750503039,
+      "exact_match,score-first": 0.1750451926994051,
+      "exact_match_stderr,score-first": 0.043605475235105676,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_sft/epoch_0_base/epoch_1_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_2-0_polish/results.json b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_2-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..5b901cbc303d8dfb3669cde1c606a4055a2fc509
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_2-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2360173516670664,
+      "acc_stderr,none": 0.026945800358993716,
+      "acc_norm,none": 0.24255365788893873,
+      "acc_norm_stderr,none": 0.026175648249229938,
+      "exact_match,score-first": 0.11321172704509604,
+      "exact_match_stderr,score-first": 0.05053561916228627,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22333333333333333,
+      "acc_stderr,none": 0.013890384297198724,
+      "acc_norm,none": 0.22333333333333333,
+      "acc_norm_stderr,none": 0.013890384297198724,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.15512465373961218,
+      "exact_match_stderr,score-first": 0.013482458709216811,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.23684210526315788,
+      "acc_stderr,none": 0.01583321192224945,
+      "acc_norm,none": 0.2409972299168975,
+      "acc_norm_stderr,none": 0.015927956958878345,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.01417004048582996,
+      "exact_match_stderr,score-first": 0.005323081211773868,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.02631578947368421,
+      "acc_stderr,none": 0.007209311746493934,
+      "acc_norm,none": 0.024291497975708502,
+      "acc_norm_stderr,none": 0.006933679028612034,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.14409881061299176,
+      "acc_stderr,none": 0.005311921028090928,
+      "acc_norm,none": 0.15759377859103385,
+      "acc_norm_stderr,none": 0.005511120587964038,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.12511436413540714,
+      "exact_match_stderr,score-first": 0.005004248024356061,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.17,
+      "exact_match_stderr,score-first": 0.012528055279122489,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.6831875607385811,
+      "acc_stderr,none": 0.014510237818427496,
+      "acc_norm,none": 0.6831875607385811,
+      "acc_norm_stderr,none": 0.014510237818427496,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.015549076773566569,
+      "exact_match_stderr,score-first": 0.0038588045497999113,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.237,
+      "acc_stderr,none": 0.01345407046257794,
+      "acc_norm,none": 0.237,
+      "acc_norm_stderr,none": 0.01345407046257794,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.036,
+      "exact_match_stderr,score-first": 0.005893957816165557,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6920222634508348,
+      "acc_stderr,none": 0.014067335427669261,
+      "acc_norm,none": 0.6920222634508348,
+      "acc_norm_stderr,none": 0.014067335427669261,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.025974025974025976,
+      "exact_match_stderr,score-first": 0.004846710200403094,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2360173516670664,
+      "acc_stderr,none": 0.026945800358993716,
+      "acc_norm,none": 0.24255365788893873,
+      "acc_norm_stderr,none": 0.026175648249229938,
+      "exact_match,score-first": 0.11321172704509604,
+      "exact_match_stderr,score-first": 0.05053561916228627,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_sft/epoch_0_base/epoch_2_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_2-5_polish/results.json b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_2-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..9539e3eb91dde59252327618d17bcfb5c7bb1be5
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_3-5B_high_sft_0_2-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2914407045064267,
+      "acc_stderr,none": 0.029308497628084317,
+      "acc_norm,none": 0.24697630348900795,
+      "acc_norm_stderr,none": 0.0351269218583057,
+      "exact_match,score-first": 0.1696350048664185,
+      "exact_match_stderr,score-first": 0.05395283325485736,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22,
+      "acc_stderr,none": 0.013815887744596802,
+      "acc_norm,none": 0.22,
+      "acc_norm_stderr,none": 0.013815887744596802,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.18421052631578946,
+      "exact_match_stderr,score-first": 0.01443705589635837,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.2257617728531856,
+      "acc_stderr,none": 0.015570224561219034,
+      "acc_norm,none": 0.21745152354570638,
+      "acc_norm_stderr,none": 0.015362759087706297,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.2975708502024291,
+      "exact_match_stderr,score-first": 0.020590789375937096,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.0728744939271255,
+      "acc_stderr,none": 0.011706675516432454,
+      "acc_norm,none": 0.08299595141700405,
+      "acc_norm_stderr,none": 0.012424834734730952,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.23627630375114364,
+      "acc_stderr,none": 0.006425217207249936,
+      "acc_norm,none": 0.14089661482159194,
+      "acc_norm_stderr,none": 0.0052623846745041775,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.12397072278133578,
+      "exact_match_stderr,score-first": 0.004984578888215116,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.2311111111111111,
+      "exact_match_stderr,score-first": 0.014059256663218167,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8318756073858115,
+      "acc_stderr,none": 0.01166401318259015,
+      "acc_norm,none": 0.8318756073858115,
+      "acc_norm_stderr,none": 0.01166401318259015,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0058309037900874635,
+      "exact_match_stderr,score-first": 0.0023746603998608643,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.273,
+      "acc_stderr,none": 0.014095022868717595,
+      "acc_norm,none": 0.273,
+      "acc_norm_stderr,none": 0.014095022868717595,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.182,
+      "exact_match_stderr,score-first": 0.012207580637662148,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.19851576994434136,
+      "exact_match_stderr,score-first": 0.012154501328015363,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2914407045064267,
+      "acc_stderr,none": 0.029308497628084317,
+      "acc_norm,none": 0.24697630348900795,
+      "acc_norm_stderr,none": 0.0351269218583057,
+      "exact_match,score-first": 0.1696350048664185,
+      "exact_match_stderr,score-first": 0.05395283325485736,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/3-5B_high_sft/epoch_0_base/epoch_2_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_7B_high_base/epoch_2-0_polish/results.json b/pl/polish_benchmarks-out31m/results_7B_high_base/epoch_2-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..eda89f3f11484a0ef23d61d26b773a32a2c1be29
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_7B_high_base/epoch_2-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.26134746855779456,
+      "acc_stderr,none": 0.02564044195375596,
+      "acc_norm,none": 0.2867779192721698,
+      "acc_norm_stderr,none": 0.022527449808459776,
+      "exact_match,score-first": 0.14923879249198554,
+      "exact_match_stderr,score-first": 0.050869550932610315,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.24222222222222223,
+      "acc_stderr,none": 0.014288876375699814,
+      "acc_norm,none": 0.24222222222222223,
+      "acc_norm_stderr,none": 0.014288876375699814,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.18975069252077562,
+      "exact_match_stderr,score-first": 0.014602707518251922,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.19390581717451524,
+      "acc_stderr,none": 0.01472382612678949,
+      "acc_norm,none": 0.1925207756232687,
+      "acc_norm_stderr,none": 0.014683745463183965,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.16396761133603238,
+      "exact_match_stderr,score-first": 0.016675049304511472,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.07894736842105263,
+      "acc_stderr,none": 0.012144722427484966,
+      "acc_norm,none": 0.09109311740890688,
+      "acc_norm_stderr,none": 0.012959224660154617,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.17886550777676122,
+      "acc_stderr,none": 0.005796689584238242,
+      "acc_norm,none": 0.23261665141811527,
+      "acc_norm_stderr,none": 0.006390519761958908,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.14021043000914912,
+      "exact_match_stderr,score-first": 0.005251650835347565,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.2,
+      "exact_match_stderr,score-first": 0.013340746919301451,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8241010689990281,
+      "acc_stderr,none": 0.011874772046703713,
+      "acc_norm,none": 0.8241010689990281,
+      "acc_norm_stderr,none": 0.011874772046703713,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0923226433430515,
+      "exact_match_stderr,score-first": 0.009028660206569023,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577795,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577795,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.011,
+      "exact_match_stderr,score-first": 0.0032999833166078166,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.4684601113172542,
+      "acc_stderr,none": 0.015205348818875959,
+      "acc_norm,none": 0.4684601113172542,
+      "acc_norm_stderr,none": 0.015205348818875959,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.02504638218923933,
+      "exact_match_stderr,score-first": 0.004761640764989432,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.26134746855779456,
+      "acc_stderr,none": 0.02564044195375596,
+      "acc_norm,none": 0.2867779192721698,
+      "acc_norm_stderr,none": 0.022527449808459776,
+      "exact_match,score-first": 0.14923879249198554,
+      "exact_match_stderr,score-first": 0.050869550932610315,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/7B_high_base/epoch_2_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_7B_high_base/epoch_2-5_polish/results.json b/pl/polish_benchmarks-out31m/results_7B_high_base/epoch_2-5_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..43dbf6e9ac0b1f5c60a07bba91fb2ccc585925fd
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_7B_high_base/epoch_2-5_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.31222887003439054,
+      "acc_stderr,none": 0.019534921174968724,
+      "acc_norm,none": 0.2877695493903867,
+      "acc_norm_stderr,none": 0.021276128400477736,
+      "exact_match,score-first": 0.011127009712324833,
+      "exact_match_stderr,score-first": 0.011217555077638566,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2288888888888889,
+      "acc_stderr,none": 0.014011705158884512,
+      "acc_norm,none": 0.2288888888888889,
+      "acc_norm_stderr,none": 0.014011705158884512,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.19113573407202217,
+      "acc_stderr,none": 0.014643373399304865,
+      "acc_norm,none": 0.18698060941828254,
+      "acc_norm_stderr,none": 0.014520484412463909,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.032388663967611336,
+      "acc_stderr,none": 0.007973032439158362,
+      "acc_norm,none": 0.08097165991902834,
+      "acc_norm_stderr,none": 0.012285915203657086,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.3012351326623971,
+      "acc_stderr,none": 0.0069394961354961055,
+      "acc_norm,none": 0.24382433668801465,
+      "acc_norm_stderr,none": 0.006494705612254867,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.03774016468435499,
+      "exact_match_stderr,score-first": 0.0028824227149804858,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.005555555555555556,
+      "exact_match_stderr,score-first": 0.0024789865160701097,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7871720116618076,
+      "acc_stderr,none": 0.012765935175031459,
+      "acc_norm,none": 0.7871720116618076,
+      "acc_norm_stderr,none": 0.012765935175031459,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.001943634596695821,
+      "exact_match_stderr,score-first": 0.0013736885791548355,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.393,
+      "acc_stderr,none": 0.015452824654081496,
+      "acc_norm,none": 0.393,
+      "acc_norm_stderr,none": 0.015452824654081496,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.003,
+      "exact_match_stderr,score-first": 0.0017303161543469354,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5278293135435993,
+      "acc_stderr,none": 0.015212073386020201,
+      "acc_norm,none": 0.5278293135435993,
+      "acc_norm_stderr,none": 0.015212073386020201,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.31222887003439054,
+      "acc_stderr,none": 0.019534921174968724,
+      "acc_norm,none": 0.2877695493903867,
+      "acc_norm_stderr,none": 0.021276128400477736,
+      "exact_match,score-first": 0.011127009712324833,
+      "exact_match_stderr,score-first": 0.011217555077638566,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/7B_high_base/epoch_2_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_7B_high_sft_0_0-0_polish/results.json b/pl/polish_benchmarks-out31m/results_7B_high_sft_0_0-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..607579949b0e2f6e5d2864116408d1e8730bdcf0
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_7B_high_sft_0_0-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.328198873535187,
+      "acc_stderr,none": 0.024575277736033508,
+      "acc_norm,none": 0.2585218293024038,
+      "acc_norm_stderr,none": 0.03286377213018314,
+      "exact_match,score-first": 0.14632338865501346,
+      "exact_match_stderr,score-first": 0.04991376192108646,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2222222222222222,
+      "acc_stderr,none": 0.013865695626579367,
+      "acc_norm,none": 0.2222222222222222,
+      "acc_norm_stderr,none": 0.013865695626579367,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.13850415512465375,
+      "exact_match_stderr,score-first": 0.012864424498085199,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16204986149584488,
+      "acc_stderr,none": 0.013723528490778158,
+      "acc_norm,none": 0.16204986149584488,
+      "acc_norm_stderr,none": 0.013723528490778158,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.242914979757085,
+      "exact_match_stderr,score-first": 0.01931416848306161,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.0020242914979757085,
+      "acc_stderr,none": 0.0020242914979757094,
+      "acc_norm,none": 0.0020242914979757085,
+      "acc_norm_stderr,none": 0.0020242914979757094,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.3261665141811528,
+      "acc_stderr,none": 0.007090968848813233,
+      "acc_norm,none": 0.17589204025617566,
+      "acc_norm_stderr,none": 0.0057587038444541685,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.13998170173833485,
+      "exact_match_stderr,score-first": 0.005248063449020411,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.22555555555555556,
+      "exact_match_stderr,score-first": 0.013939334910458135,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8221574344023324,
+      "acc_stderr,none": 0.011926109548725396,
+      "acc_norm,none": 0.8221574344023324,
+      "acc_norm_stderr,none": 0.011926109548725396,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.2108843537414966,
+      "exact_match_stderr,score-first": 0.012723188146965466,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577794,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577794,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6335807050092764,
+      "acc_stderr,none": 0.014681900859870933,
+      "acc_norm,none": 0.6335807050092764,
+      "acc_norm_stderr,none": 0.014681900859870933,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.08070500927643785,
+      "exact_match_stderr,score-first": 0.008299842306683255,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.328198873535187,
+      "acc_stderr,none": 0.024575277736033508,
+      "acc_norm,none": 0.2585218293024038,
+      "acc_norm_stderr,none": 0.03286377213018314,
+      "exact_match,score-first": 0.14632338865501346,
+      "exact_match_stderr,score-first": 0.04991376192108646,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/7B_high_sft/epoch_0_base/epoch_0_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_7B_high_sft_1_1-0_polish/results.json b/pl/polish_benchmarks-out31m/results_7B_high_sft_1_1-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..dafe75d929a853683b1e1e4b86685664a911070f
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_7B_high_sft_1_1-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.30401683695866727,
+      "acc_stderr,none": 0.019020191539353064,
+      "acc_norm,none": 0.22246181867098036,
+      "acc_norm_stderr,none": 0.028062105145623226,
+      "exact_match,score-first": 0.15504211521973255,
+      "exact_match_stderr,score-first": 0.06930341110534224,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22,
+      "acc_stderr,none": 0.013815887744596791,
+      "acc_norm,none": 0.22,
+      "acc_norm_stderr,none": 0.013815887744596791,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.19806094182825484,
+      "exact_match_stderr,score-first": 0.014842343237320156,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.17174515235457063,
+      "acc_stderr,none": 0.014046127446788357,
+      "acc_norm,none": 0.17174515235457063,
+      "acc_norm_stderr,none": 0.014046127446788357,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.2834008097165992,
+      "exact_match_stderr,score-first": 0.020296223670203926,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.048582995951417005,
+      "acc_stderr,none": 0.009682870894221464,
+      "acc_norm,none": 0.048582995951417005,
+      "acc_norm_stderr,none": 0.009682870894221464,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.2959743824336688,
+      "acc_stderr,none": 0.0069044786239812975,
+      "acc_norm,none": 0.12008234217749314,
+      "acc_norm_stderr,none": 0.004916660131478352,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.1280878316559927,
+      "exact_match_stderr,score-first": 0.005054752584193123,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.21666666666666667,
+      "exact_match_stderr,score-first": 0.013740087830700175,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7978620019436345,
+      "acc_stderr,none": 0.012525391634647394,
+      "acc_norm,none": 0.7978620019436345,
+      "acc_norm_stderr,none": 0.012525391634647394,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.03304178814382896,
+      "exact_match_stderr,score-first": 0.005574925483273676,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577794,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577794,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.44063079777365494,
+      "acc_stderr,none": 0.015127907083500567,
+      "acc_norm,none": 0.44063079777365494,
+      "acc_norm_stderr,none": 0.015127907083500567,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.00463821892393321,
+      "exact_match_stderr,score-first": 0.002070419029429844,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.30401683695866727,
+      "acc_stderr,none": 0.019020191539353064,
+      "acc_norm,none": 0.22246181867098036,
+      "acc_norm_stderr,none": 0.028062105145623226,
+      "exact_match,score-first": 0.15504211521973255,
+      "exact_match_stderr,score-first": 0.06930341110534224,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/7B_high_sft/epoch_1_base/epoch_1_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_7B_high_sft_1_2-0_polish/results.json b/pl/polish_benchmarks-out31m/results_7B_high_sft_1_2-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..086dd93a2ce2f6b156d1e65de07645564c39f089
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_7B_high_sft_1_2-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.3102300320225377,
+      "acc_stderr,none": 0.02030367905692672,
+      "acc_norm,none": 0.24670408149675818,
+      "acc_norm_stderr,none": 0.02835415943728321,
+      "exact_match,score-first": 0.14638681285591712,
+      "exact_match_stderr,score-first": 0.06370777964240908,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22333333333333333,
+      "acc_stderr,none": 0.013890384297198723,
+      "acc_norm,none": 0.22333333333333333,
+      "acc_norm_stderr,none": 0.013890384297198723,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.1772853185595568,
+      "exact_match_stderr,score-first": 0.014223070980056818,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.25346260387811637,
+      "acc_stderr,none": 0.016200003095556397,
+      "acc_norm,none": 0.25346260387811637,
+      "acc_norm_stderr,none": 0.016200003095556397,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.26720647773279355,
+      "exact_match_stderr,score-first": 0.019929244821849688,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.18421052631578946,
+      "acc_stderr,none": 0.017459138520290383,
+      "acc_norm,none": 0.18421052631578946,
+      "acc_norm_stderr,none": 0.017459138520290383,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.26349496797804206,
+      "acc_stderr,none": 0.006663211810613921,
+      "acc_norm,none": 0.12648673376029276,
+      "acc_norm_stderr,none": 0.005027670857278853,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.12763037511436415,
+      "exact_match_stderr,score-first": 0.005047041633716461,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.22666666666666666,
+      "exact_match_stderr,score-first": 0.013963598349030465,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8172983479105929,
+      "acc_stderr,none": 0.01205216282692125,
+      "acc_norm,none": 0.8172983479105929,
+      "acc_norm_stderr,none": 0.01205216282692125,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.022351797862001945,
+      "exact_match_stderr,score-first": 0.004610531316641214,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577794,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577794,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.003,
+      "exact_match_stderr,score-first": 0.001730316154346937,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5185528756957328,
+      "acc_stderr,none": 0.015225198740827381,
+      "acc_norm,none": 0.5185528756957328,
+      "acc_norm_stderr,none": 0.015225198740827381,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.025974025974025976,
+      "exact_match_stderr,score-first": 0.004846710200403095,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.3102300320225377,
+      "acc_stderr,none": 0.02030367905692672,
+      "acc_norm,none": 0.24670408149675818,
+      "acc_norm_stderr,none": 0.02835415943728321,
+      "exact_match,score-first": 0.14638681285591712,
+      "exact_match_stderr,score-first": 0.06370777964240908,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/7B_high_sft/epoch_1_base/epoch_2_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out31m/results_7B_high_sft_2_1-0_polish/results.json b/pl/polish_benchmarks-out31m/results_7B_high_sft_2_1-0_polish/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..ea056d001acad031c4ef309d820360e953670f24
--- /dev/null
+++ b/pl/polish_benchmarks-out31m/results_7B_high_sft_2_1-0_polish/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.32900059927443437,
+      "acc_stderr,none": 0.025312507871460787,
+      "acc_norm,none": 0.2827613431321307,
+      "acc_norm_stderr,none": 0.030685347800992507,
+      "exact_match,score-first": 0.167695789098983,
+      "exact_match_stderr,score-first": 0.07183603007739599,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2311111111111111,
+      "acc_stderr,none": 0.014059256663218165,
+      "acc_norm,none": 0.2311111111111111,
+      "acc_norm_stderr,none": 0.014059256663218165,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.2146814404432133,
+      "exact_match_stderr,score-first": 0.015291586600683915,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.18282548476454294,
+      "acc_stderr,none": 0.014394883071700374,
+      "acc_norm,none": 0.18282548476454294,
+      "acc_norm_stderr,none": 0.014394883071700374,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.291497975708502,
+      "exact_match_stderr,score-first": 0.02046750285591508,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.0020242914979757085,
+      "acc_stderr,none": 0.0020242914979757094,
+      "acc_norm,none": 0.0020242914979757085,
+      "acc_norm_stderr,none": 0.0020242914979757094,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.3167886550777676,
+      "acc_stderr,none": 0.007036747078498592,
+      "acc_norm,none": 0.21706312900274474,
+      "acc_norm_stderr,none": 0.006235424129675322,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.14158279963403478,
+      "exact_match_stderr,score-first": 0.005273076235557596,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.22666666666666666,
+      "exact_match_stderr,score-first": 0.01396359834903047,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8211856171039844,
+      "acc_stderr,none": 0.011951580303723675,
+      "acc_norm,none": 0.8211856171039844,
+      "acc_norm_stderr,none": 0.011951580303723675,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.038872691933916424,
+      "exact_match_stderr,score-first": 0.006028596393071319,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577794,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577794,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.001,
+      "exact_match_stderr,score-first": 0.0010000000000000048,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6576994434137291,
+      "acc_stderr,none": 0.014458048862964258,
+      "acc_norm,none": 0.6576994434137291,
+      "acc_norm_stderr,none": 0.014458048862964258,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.012987012987012988,
+      "exact_match_stderr,score-first": 0.003449913604974766,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.32900059927443437,
+      "acc_stderr,none": 0.025312507871460787,
+      "acc_norm,none": 0.2827613431321307,
+      "acc_norm_stderr,none": 0.030685347800992507,
+      "exact_match,score-first": 0.167695789098983,
+      "exact_match_stderr,score-first": 0.07183603007739599,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=/net/people/plgrid/plgkwrobel/plggspkl/models/7B_high_sft/epoch_2_base/epoch_1_hf/",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out4test/results_APT3-1B-Base-5_polish_generate/results.json b/pl/polish_benchmarks-out4test/results_APT3-1B-Base-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..a45d7d5a24c96fdca0a0b2e4122260d127178a91
--- /dev/null
+++ b/pl/polish_benchmarks-out4test/results_APT3-1B-Base-5_polish_generate/results.json
@@ -0,0 +1,474 @@
+{
+  "results": {
+    "polish_generate": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "exact_match,score-first": 0.3757142857142857,
+      "exact_match_stderr,score-first": 0.17440406740370795,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.2,
+      "exact_match_stderr,score-first": 0.04020151261036846,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.32,
+      "exact_match_stderr,score-first": 0.04688261722621504,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.69,
+      "exact_match_stderr,score-first": 0.04648231987117316,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.33,
+      "exact_match_stderr,score-first": 0.047258156262526045,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.69,
+      "exact_match_stderr,score-first": 0.04648231987117316,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "exact_match,score-first": 0.3757142857142857,
+      "exact_match_stderr,score-first": 0.17440406740370795,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": 100.0,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out5/results_APT3-1B-Base-5_polish_generate/results.json b/pl/polish_benchmarks-out5/results_APT3-1B-Base-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..8edb21ca623a0bd9fb8792f7715ec947c2abf9e7
--- /dev/null
+++ b/pl/polish_benchmarks-out5/results_APT3-1B-Base-5_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.31287128712871287,
+      "exact_match_stderr,score-first": 0.1872017901478887,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.2257617728531856,
+      "exact_match_stderr,score-first": 0.015570224561218982,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.3522267206477733,
+      "exact_match_stderr,score-first": 0.0215129121993545,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.13311985361390669,
+      "exact_match_stderr,score-first": 0.0051381945102261135,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.24222222222222223,
+      "exact_match_stderr,score-first": 0.014288876375699814,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.7278911564625851,
+      "exact_match_stderr,score-first": 0.013880592111291976,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.417,
+      "exact_match_stderr,score-first": 0.015599819048769618,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6484230055658627,
+      "exact_match_stderr,score-first": 0.014548947621655416,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.31287128712871287,
+      "exact_match_stderr,score-first": 0.1872017901478887,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out5/results_trurl-2-13b-academic_8bits-5_polish_generate/results.json b/pl/polish_benchmarks-out5/results_trurl-2-13b-academic_8bits-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..46306a8bf8a5ab87c9985fbe72bcb2a4bc08c25a
--- /dev/null
+++ b/pl/polish_benchmarks-out5/results_trurl-2-13b-academic_8bits-5_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6599270453361126,
+      "exact_match_stderr,score-first": 0.08111767709880116,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7091412742382271,
+      "exact_match_stderr,score-first": 0.016913745750075915,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6356275303643725,
+      "exact_match_stderr,score-first": 0.02167457886979786,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.7076852698993595,
+      "exact_match_stderr,score-first": 0.006879470696168756,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5888888888888889,
+      "exact_match_stderr,score-first": 0.016410297014042757,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.7405247813411079,
+      "exact_match_stderr,score-first": 0.013671657949578813,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.657,
+      "exact_match_stderr,score-first": 0.015019206922356951,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.4294990723562152,
+      "exact_match_stderr,score-first": 0.015083476149096428,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6599270453361126,
+      "exact_match_stderr,score-first": 0.08111767709880116,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-13b-academic",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out5/results_trurl-2-7b-5_polish_generate/results.json b/pl/polish_benchmarks-out5/results_trurl-2-7b-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..ffd2dcbc426638d65bf3c4c46652b92cad9b76cf
--- /dev/null
+++ b/pl/polish_benchmarks-out5/results_trurl-2-7b-5_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6288692027097447,
+      "exact_match_stderr,score-first": 0.06987475502464732,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.6772853185595568,
+      "exact_match_stderr,score-first": 0.017411154132998916,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6538461538461539,
+      "exact_match_stderr,score-first": 0.02142638517427511,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6326623970722781,
+      "exact_match_stderr,score-first": 0.00729169176494896,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.4688888888888889,
+      "exact_match_stderr,score-first": 0.01664362102983934,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.7784256559766763,
+      "exact_match_stderr,score-first": 0.012953041276144992,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.519,
+      "exact_match_stderr,score-first": 0.015807874268505846,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6623376623376623,
+      "exact_match_stderr,score-first": 0.014410305407504615,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6288692027097447,
+      "exact_match_stderr,score-first": 0.06987475502464732,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out5/results_zephyr-7b-alpha-5_polish_generate/results.json b/pl/polish_benchmarks-out5/results_zephyr-7b-alpha-5_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..e216ffbfa99be9d54b43f260b0767021561a4365
--- /dev/null
+++ b/pl/polish_benchmarks-out5/results_zephyr-7b-alpha-5_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6277227722772277,
+      "exact_match_stderr,score-first": 0.11755177802104162,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.685595567867036,
+      "exact_match_stderr,score-first": 0.01729062524842382,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6740890688259109,
+      "exact_match_stderr,score-first": 0.021109825640460506,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6919030192131748,
+      "exact_match_stderr,score-first": 0.006983544917513509,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.6788888888888889,
+      "exact_match_stderr,score-first": 0.015572099541460131,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.6967930029154519,
+      "exact_match_stderr,score-first": 0.014335899334574255,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.54,
+      "exact_match_stderr,score-first": 0.015768596914394386,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.28014842300556586,
+      "exact_match_stderr,score-first": 0.013683831559189043,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6277227722772277,
+      "exact_match_stderr,score-first": 0.11755177802104162,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out6/results_zephyr-7b-alpha-0_polish_generate/results.json b/pl/polish_benchmarks-out6/results_zephyr-7b-alpha-0_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..e5e01b6e69ec89e641fbbec3bd9a3fe83ae6fa9e
--- /dev/null
+++ b/pl/polish_benchmarks-out6/results_zephyr-7b-alpha-0_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.5310057321521626,
+      "exact_match_stderr,score-first": 0.17149238892229934,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.6260387811634349,
+      "exact_match_stderr,score-first": 0.018019646607514046,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6194331983805668,
+      "exact_match_stderr,score-first": 0.021867001226647954,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.673604757548033,
+      "exact_match_stderr,score-first": 0.0070922507124707036,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.6511111111111111,
+      "exact_match_stderr,score-first": 0.015896125275520714,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.16909620991253643,
+      "exact_match_stderr,score-first": 0.011690840877120627,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.397,
+      "exact_match_stderr,score-first": 0.015480007449307985,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.21799628942486085,
+      "exact_match_stderr,score-first": 0.012581172180202597,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.5310057321521626,
+      "exact_match_stderr,score-first": 0.17149238892229934,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 0,
+    "polemo2_out": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_regex": 0,
+    "polish_generate": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out6/results_zephyr-7b-alpha-0_polish_mc/results.json b/pl/polish_benchmarks-out6/results_zephyr-7b-alpha-0_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..ba18a3568f8f0a1da3704db887585076f9d63307
--- /dev/null
+++ b/pl/polish_benchmarks-out6/results_zephyr-7b-alpha-0_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.583637311099531,
+      "acc_stderr,none": 0.12330327807162128,
+      "acc_norm,none": 0.582490880667014,
+      "acc_norm_stderr,none": 0.12318353990055729,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.43222222222222223,
+      "acc_stderr,none": 0.016522010560746377,
+      "acc_norm,none": 0.43222222222222223,
+      "acc_norm_stderr,none": 0.016522010560746377,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6952908587257618,
+      "acc_stderr,none": 0.01714187678361301,
+      "acc_norm,none": 0.6952908587257618,
+      "acc_norm_stderr,none": 0.017141876783613008,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.7206477732793523,
+      "acc_stderr,none": 0.020207571941891926,
+      "acc_norm,none": 0.7388663967611336,
+      "acc_norm_stderr,none": 0.01978294204972309,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7083714547118024,
+      "acc_stderr,none": 0.006874721963326569,
+      "acc_norm,none": 0.703796889295517,
+      "acc_norm_stderr,none": 0.006906023881086204,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.3080660835762877,
+      "acc_stderr,none": 0.014399840970204332,
+      "acc_norm,none": 0.3080660835762877,
+      "acc_norm_stderr,none": 0.014399840970204332,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.396,
+      "acc_stderr,none": 0.01547331326585941,
+      "acc_norm,none": 0.396,
+      "acc_norm_stderr,none": 0.01547331326585941,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5037105751391465,
+      "acc_stderr,none": 0.015235271336430135,
+      "acc_norm,none": 0.5037105751391465,
+      "acc_norm_stderr,none": 0.015235271336430135,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.583637311099531,
+      "acc_stderr,none": 0.12330327807162128,
+      "acc_norm,none": 0.582490880667014,
+      "acc_norm_stderr,none": 0.12318353990055729,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out6/results_zephyr-7b-alpha-5_polish_mc/results.json b/pl/polish_benchmarks-out6/results_zephyr-7b-alpha-5_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..25f1e9609f1015777cd4f54e2bc18e69d7ac2227
--- /dev/null
+++ b/pl/polish_benchmarks-out6/results_zephyr-7b-alpha-5_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.7126628452318916,
+      "acc_stderr,none": 0.04962699561177951,
+      "acc_norm,none": 0.7125586242834809,
+      "acc_norm_stderr,none": 0.049787306618787545,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.6466666666666666,
+      "acc_stderr,none": 0.01594236312578406,
+      "acc_norm,none": 0.6466666666666666,
+      "acc_norm_stderr,none": 0.01594236312578406,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7160664819944599,
+      "acc_stderr,none": 0.016792577919251095,
+      "acc_norm,none": 0.7202216066481995,
+      "acc_norm_stderr,none": 0.016717545989724802,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6923076923076923,
+      "acc_stderr,none": 0.020786646882048284,
+      "acc_norm,none": 0.7105263157894737,
+      "acc_norm_stderr,none": 0.020425428130658944,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7188929551692589,
+      "acc_stderr,none": 0.006799509351827818,
+      "acc_norm,none": 0.7159194876486734,
+      "acc_norm_stderr,none": 0.006821225550975368,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8328474246841594,
+      "acc_stderr,none": 0.011637044694546987,
+      "acc_norm,none": 0.8328474246841594,
+      "acc_norm_stderr,none": 0.011637044694546987,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.602,
+      "acc_stderr,none": 0.015486634102858924,
+      "acc_norm,none": 0.602,
+      "acc_norm_stderr,none": 0.015486634102858924,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.7374768089053804,
+      "acc_stderr,none": 0.013407572980021263,
+      "acc_norm,none": 0.7374768089053804,
+      "acc_norm_stderr,none": 0.013407572980021263,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.7126628452318916,
+      "acc_stderr,none": 0.04962699561177951,
+      "acc_norm,none": 0.7125586242834809,
+      "acc_norm_stderr,none": 0.049787306618787545,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out7/results_Mistral-7B-v0.1-0_polish_mc/results.json b/pl/polish_benchmarks-out7/results_Mistral-7B-v0.1-0_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..40fefaef98f9f2e8a03c348c0cc42c11c9ed389c
--- /dev/null
+++ b/pl/polish_benchmarks-out7/results_Mistral-7B-v0.1-0_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.36060448150078167,
+      "acc_stderr,none": 0.04888877747828485,
+      "acc_norm,none": 0.4638874413757165,
+      "acc_norm_stderr,none": 0.06942868578918145,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.39222222222222225,
+      "acc_stderr,none": 0.01628390876847676,
+      "acc_norm,none": 0.39222222222222225,
+      "acc_norm_stderr,none": 0.01628390876847676,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6454293628808865,
+      "acc_stderr,none": 0.01781591414123938,
+      "acc_norm,none": 0.5664819944598338,
+      "acc_norm_stderr,none": 0.018455635015295804,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.4959514170040486,
+      "acc_stderr,none": 0.022518129228845527,
+      "acc_norm,none": 0.6153846153846154,
+      "acc_norm_stderr,none": 0.021911049688303368,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.2849954254345837,
+      "acc_stderr,none": 0.006827833962034908,
+      "acc_norm,none": 0.5112076852698993,
+      "acc_norm_stderr,none": 0.007560847321219966,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.30029154518950435,
+      "acc_stderr,none": 0.014296625988901652,
+      "acc_norm,none": 0.30029154518950435,
+      "acc_norm_stderr,none": 0.014296625988901652,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.397,
+      "acc_stderr,none": 0.015480007449307984,
+      "acc_norm,none": 0.397,
+      "acc_norm_stderr,none": 0.015480007449307984,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.41187384044526903,
+      "acc_stderr,none": 0.014997176459791978,
+      "acc_norm,none": 0.41187384044526903,
+      "acc_norm_stderr,none": 0.014997176459791978,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.36060448150078167,
+      "acc_stderr,none": 0.04888877747828485,
+      "acc_norm,none": 0.4638874413757165,
+      "acc_norm_stderr,none": 0.06942868578918145,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out7/results_Mistral-7B-v0.1_lora_chp200-0_polish_mc/results.json b/pl/polish_benchmarks-out7/results_Mistral-7B-v0.1_lora_chp200-0_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..65179ff3e5831081899ade078aec6538142dafbd
--- /dev/null
+++ b/pl/polish_benchmarks-out7/results_Mistral-7B-v0.1_lora_chp200-0_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.5131839499739448,
+      "acc_stderr,none": 0.14431066975979473,
+      "acc_norm,none": 0.4934861907243356,
+      "acc_norm_stderr,none": 0.13364456401224745,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.35555555555555557,
+      "acc_stderr,none": 0.015964915735713427,
+      "acc_norm,none": 0.35555555555555557,
+      "acc_norm_stderr,none": 0.015964915735713427,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7590027700831025,
+      "acc_stderr,none": 0.015927956958878338,
+      "acc_norm,none": 0.7465373961218836,
+      "acc_norm_stderr,none": 0.016200003095556373,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6133603238866396,
+      "acc_stderr,none": 0.02193247228897194,
+      "acc_norm,none": 0.6740890688259109,
+      "acc_norm_stderr,none": 0.021109825640460506,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6511893870082343,
+      "acc_stderr,none": 0.007208719034638488,
+      "acc_norm,none": 0.603156450137237,
+      "acc_norm_stderr,none": 0.007400043078566891,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.239067055393586,
+      "acc_stderr,none": 0.013302599085553061,
+      "acc_norm,none": 0.239067055393586,
+      "acc_norm_stderr,none": 0.013302599085553061,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.331,
+      "acc_stderr,none": 0.014888272588203926,
+      "acc_norm,none": 0.331,
+      "acc_norm_stderr,none": 0.014888272588203926,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3051948051948052,
+      "acc_stderr,none": 0.01403176314810364,
+      "acc_norm,none": 0.3051948051948052,
+      "acc_norm_stderr,none": 0.01403176314810364,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.5131839499739448,
+      "acc_stderr,none": 0.14431066975979473,
+      "acc_norm,none": 0.4934861907243356,
+      "acc_norm_stderr,none": 0.13364456401224745,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1-0_polish_generate/results.json b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1-0_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..5acc6e6565a644058c83a83c66c5f21f22702980
--- /dev/null
+++ b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1-0_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.40323084940072956,
+      "exact_match_stderr,score-first": 0.11656510857134673,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.18698060941828254,
+      "exact_match_stderr,score-first": 0.014520484412463872,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.17408906882591094,
+      "exact_match_stderr,score-first": 0.017077681064775117,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.537740164684355,
+      "exact_match_stderr,score-first": 0.0075411731886355715,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5511111111111111,
+      "exact_match_stderr,score-first": 0.016588578240900893,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.061224489795918366,
+      "exact_match_stderr,score-first": 0.007477336161698692,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.388,
+      "exact_match_stderr,score-first": 0.015417317979911074,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.3246753246753247,
+      "exact_match_stderr,score-first": 0.014268328492783915,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.40323084940072956,
+      "exact_match_stderr,score-first": 0.11656510857134673,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 0,
+    "polemo2_out": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_regex": 0,
+    "polish_generate": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1-0_polish_mc/results.json b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1-0_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..76e7032bef2c2a722333356fa0fb4f2ff1ef4692
--- /dev/null
+++ b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1-0_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.3600833767587285,
+      "acc_stderr,none": 0.04798107420561922,
+      "acc_norm,none": 0.4645127670661803,
+      "acc_norm_stderr,none": 0.06937562338382068,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.39111111111111113,
+      "acc_stderr,none": 0.016275684241430367,
+      "acc_norm,none": 0.39111111111111113,
+      "acc_norm_stderr,none": 0.016275684241430367,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6523545706371191,
+      "acc_stderr,none": 0.017735461112364855,
+      "acc_norm,none": 0.5623268698060941,
+      "acc_norm_stderr,none": 0.018475735157173663,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.5141700404858299,
+      "acc_stderr,none": 0.02250982251012611,
+      "acc_norm,none": 0.6356275303643725,
+      "acc_norm_stderr,none": 0.021674578869797873,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.2808783165599268,
+      "acc_stderr,none": 0.006797823676498517,
+      "acc_norm,none": 0.5112076852698993,
+      "acc_norm_stderr,none": 0.007560847321219967,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.3138969873663751,
+      "acc_stderr,none": 0.014474103692896896,
+      "acc_norm,none": 0.3138969873663751,
+      "acc_norm_stderr,none": 0.014474103692896896,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.393,
+      "acc_stderr,none": 0.015452824654081496,
+      "acc_norm,none": 0.393,
+      "acc_norm_stderr,none": 0.015452824654081496,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.4025974025974026,
+      "acc_stderr,none": 0.014943804796035605,
+      "acc_norm,none": 0.4025974025974026,
+      "acc_norm_stderr,none": 0.014943804796035605,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.3600833767587285,
+      "acc_stderr,none": 0.04798107420561922,
+      "acc_norm,none": 0.4645127670661803,
+      "acc_norm_stderr,none": 0.06937562338382068,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp200-0_polish_generate/results.json b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp200-0_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..5ec7aec8e84a1392cfbc67c3f71352c05875e721
--- /dev/null
+++ b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp200-0_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.43981240229286084,
+      "exact_match_stderr,score-first": 0.09033599537537176,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.5595567867036011,
+      "exact_match_stderr,score-first": 0.018488403576098905,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.4574898785425101,
+      "exact_match_stderr,score-first": 0.02243733168383912,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.489935956084172,
+      "exact_match_stderr,score-first": 0.007561215366121555,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5288888888888889,
+      "exact_match_stderr,score-first": 0.0166480759826838,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.21865889212827988,
+      "exact_match_stderr,score-first": 0.012891615719431778,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.282,
+      "exact_match_stderr,score-first": 0.014236526215291352,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.4313543599257885,
+      "exact_match_stderr,score-first": 0.015091419838371098,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.43981240229286084,
+      "exact_match_stderr,score-first": 0.09033599537537176,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 0,
+    "polemo2_out": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_regex": 0,
+    "polish_generate": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp200-0_polish_mc/results.json b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp200-0_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..65179ff3e5831081899ade078aec6538142dafbd
--- /dev/null
+++ b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp200-0_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.5131839499739448,
+      "acc_stderr,none": 0.14431066975979473,
+      "acc_norm,none": 0.4934861907243356,
+      "acc_norm_stderr,none": 0.13364456401224745,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.35555555555555557,
+      "acc_stderr,none": 0.015964915735713427,
+      "acc_norm,none": 0.35555555555555557,
+      "acc_norm_stderr,none": 0.015964915735713427,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7590027700831025,
+      "acc_stderr,none": 0.015927956958878338,
+      "acc_norm,none": 0.7465373961218836,
+      "acc_norm_stderr,none": 0.016200003095556373,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6133603238866396,
+      "acc_stderr,none": 0.02193247228897194,
+      "acc_norm,none": 0.6740890688259109,
+      "acc_norm_stderr,none": 0.021109825640460506,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6511893870082343,
+      "acc_stderr,none": 0.007208719034638488,
+      "acc_norm,none": 0.603156450137237,
+      "acc_norm_stderr,none": 0.007400043078566891,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.239067055393586,
+      "acc_stderr,none": 0.013302599085553061,
+      "acc_norm,none": 0.239067055393586,
+      "acc_norm_stderr,none": 0.013302599085553061,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.331,
+      "acc_stderr,none": 0.014888272588203926,
+      "acc_norm,none": 0.331,
+      "acc_norm_stderr,none": 0.014888272588203926,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3051948051948052,
+      "acc_stderr,none": 0.01403176314810364,
+      "acc_norm,none": 0.3051948051948052,
+      "acc_norm_stderr,none": 0.01403176314810364,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.5131839499739448,
+      "acc_stderr,none": 0.14431066975979473,
+      "acc_norm,none": 0.4934861907243356,
+      "acc_norm_stderr,none": 0.13364456401224745,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp400-0_polish_generate/results.json b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp400-0_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..89b33ba15215d64fa7d55842f0dd7197d7725276
--- /dev/null
+++ b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp400-0_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.4298071912454403,
+      "exact_match_stderr,score-first": 0.10557416436595209,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.26869806094182824,
+      "exact_match_stderr,score-first": 0.016508704592015123,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.2894736842105263,
+      "exact_match_stderr,score-first": 0.02042542813065893,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5773101555352241,
+      "exact_match_stderr,score-first": 0.007471797655441975,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.4577777777777778,
+      "exact_match_stderr,score-first": 0.016616370365621056,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.16909620991253643,
+      "exact_match_stderr,score-first": 0.011690840877120627,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.368,
+      "exact_match_stderr,score-first": 0.015258073561521798,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.28664192949907236,
+      "exact_match_stderr,score-first": 0.013778939622275648,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.4298071912454403,
+      "exact_match_stderr,score-first": 0.10557416436595209,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 0,
+    "polemo2_out": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_regex": 0,
+    "polish_generate": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-400/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp400-0_polish_mc/results.json b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp400-0_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..a3de6891fd21919619d2cd83eebf8d45a49878d0
--- /dev/null
+++ b/pl/polish_benchmarks-out8/results_Mistral-7B-v0.1_lora_chp400-0_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.5897863470557582,
+      "acc_stderr,none": 0.14124213958744242,
+      "acc_norm,none": 0.5630015633142261,
+      "acc_norm_stderr,none": 0.13634110257274296,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3388888888888889,
+      "acc_stderr,none": 0.015786507026242184,
+      "acc_norm,none": 0.3388888888888889,
+      "acc_norm_stderr,none": 0.015786507026242184,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6163434903047091,
+      "acc_stderr,none": 0.018109858628971444,
+      "acc_norm,none": 0.6177285318559557,
+      "acc_norm_stderr,none": 0.0180974397920755,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.32186234817813764,
+      "acc_stderr,none": 0.02104120255296833,
+      "acc_norm,none": 0.32793522267206476,
+      "acc_norm_stderr,none": 0.02114346399678014,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7065416285452882,
+      "acc_stderr,none": 0.006887343218468599,
+      "acc_norm,none": 0.646843549862763,
+      "acc_norm_stderr,none": 0.007229242515594336,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7191448007774538,
+      "acc_stderr,none": 0.014016928213729317,
+      "acc_norm,none": 0.7191448007774538,
+      "acc_norm_stderr,none": 0.014016928213729317,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.169,
+      "acc_stderr,none": 0.01185662597789012,
+      "acc_norm,none": 0.169,
+      "acc_norm_stderr,none": 0.01185662597789012,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6975881261595547,
+      "acc_stderr,none": 0.01399558666346479,
+      "acc_norm,none": 0.6975881261595547,
+      "acc_norm_stderr,none": 0.01399558666346479,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.5897863470557582,
+      "acc_stderr,none": 0.14124213958744242,
+      "acc_norm,none": 0.5630015633142261,
+      "acc_norm_stderr,none": 0.13634110257274296,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-400/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out9/results_Mistral-7B-v0.1_lora_chp600-0_polish_generate/results.json b/pl/polish_benchmarks-out9/results_Mistral-7B-v0.1_lora_chp600-0_polish_generate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..00c9da9832e737e72f2658ea81cacd3b5e902eb4
--- /dev/null
+++ b/pl/polish_benchmarks-out9/results_Mistral-7B-v0.1_lora_chp600-0_polish_generate/results.json
@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.4316831683168317,
+      "exact_match_stderr,score-first": 0.12242482809889253,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.3988919667590028,
+      "exact_match_stderr,score-first": 0.018236281132242127,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.44129554655870445,
+      "exact_match_stderr,score-first": 0.022363119230472968,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5361390667886551,
+      "exact_match_stderr,score-first": 0.007542967256560881,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.35777777777777775,
+      "exact_match_stderr,score-first": 0.01598709294145649,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.16909620991253643,
+      "exact_match_stderr,score-first": 0.011690840877120627,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.191,
+      "exact_match_stderr,score-first": 0.012436787112179479,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.5612244897959183,
+      "exact_match_stderr,score-first": 0.015121039406373047,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.4316831683168317,
+      "exact_match_stderr,score-first": 0.12242482809889253,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 0,
+    "polemo2_out": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_regex": 0,
+    "polish_generate": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-600/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/polish_benchmarks-out9/results_Mistral-7B-v0.1_lora_chp600-0_polish_mc/results.json b/pl/polish_benchmarks-out9/results_Mistral-7B-v0.1_lora_chp600-0_polish_mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..b9b68421b66f56742e2bc8e9534515da387e095d
--- /dev/null
+++ b/pl/polish_benchmarks-out9/results_Mistral-7B-v0.1_lora_chp600-0_polish_mc/results.json
@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.5686294945284002,
+      "acc_stderr,none": 0.07181710974814412,
+      "acc_norm,none": 0.5510161542470037,
+      "acc_norm_stderr,none": 0.06722090668743584,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.33444444444444443,
+      "acc_stderr,none": 0.0157352737809623,
+      "acc_norm,none": 0.33444444444444443,
+      "acc_norm_stderr,none": 0.0157352737809623,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.5983379501385041,
+      "acc_stderr,none": 0.018257278584369888,
+      "acc_norm,none": 0.5235457063711911,
+      "acc_norm_stderr,none": 0.01860031466303131,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.39473684210526316,
+      "acc_stderr,none": 0.022014178889768445,
+      "acc_norm,none": 0.5121457489878543,
+      "acc_norm_stderr,none": 0.022512222543699473,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6434126258005489,
+      "acc_stderr,none": 0.007244982939894091,
+      "acc_norm,none": 0.6038426349496798,
+      "acc_norm_stderr,none": 0.007397847095833586,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.5306122448979592,
+      "acc_stderr,none": 0.015565316454386666,
+      "acc_norm,none": 0.5306122448979592,
+      "acc_norm_stderr,none": 0.015565316454386666,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.42,
+      "acc_stderr,none": 0.015615500115072956,
+      "acc_norm,none": 0.42,
+      "acc_norm_stderr,none": 0.015615500115072956,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6948051948051948,
+      "acc_stderr,none": 0.01403176314810364,
+      "acc_norm,none": 0.6948051948051948,
+      "acc_norm_stderr,none": 0.01403176314810364,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.5686294945284002,
+      "acc_stderr,none": 0.07181710974814412,
+      "acc_norm,none": 0.5510161542470037,
+      "acc_norm_stderr,none": 0.06722090668743584,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-600/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/temp/results.json b/pl/temp/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..f1e7fd956408d8db73c7e3d5ff262c3112d56e5c
--- /dev/null
+++ b/pl/temp/results.json
@@ -0,0 +1,69 @@
+{
+  "results": {
+    "polish_klej_ner_multiple_choice": {
+      "acc,none": 0.07337220602526726,
+      "acc_stderr,none": 0.005749119076407838,
+      "acc_norm,none": 0.1151603498542274,
+      "acc_norm_stderr,none": 0.0070382814502759974,
+      "alias": "polish_klej_ner_multiple_choice"
+    }
+  },
+  "configs": {
+    "polish_klej_ner_multiple_choice": {
+      "task": "polish_klej_ner_multiple_choice",
+      "dataset_path": "allegro/klej-nkjp-ner",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Zdanie: \"{{sentence}}\"\nJakiego rodzaju jest nazwana jednostka, jeżeli występuje w podanym zdaniu?\nMożliwe odpowiedzi: Brak nazwanej jednostki, Nazwa miejsca, Nazwa osoby, Nazwa organizacji, Czas, Nazwa geograficzna.\nRodzaj:",
+      "doc_to_target": "{{{'noEntity': 0, 'placeName': 1, 'persName': 2, 'orgName': 3, 'time': 4, 'geogName': 5}.get(target)}}",
+      "doc_to_choice": [
+        "Brak jednostki",
+        "Nazwa miejsca",
+        "Nazwa osoby",
+        "Nazwa organizacji",
+        "Czas",
+        "Nazwa geograficzna"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    }
+  },
+  "versions": {
+    "polish_klej_ner_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "polish_klej_ner_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/test-del/lm-evaluation-harness/results/results.json b/pl/test-del/lm-evaluation-harness/results/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..2fc947b6b66ff881f719b6bfb9546b8f9df6678e
--- /dev/null
+++ b/pl/test-del/lm-evaluation-harness/results/results.json
@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2469516433240102,
+      "acc_stderr,none": 0.002521729293912833,
+      "acc_norm,none": 0.18576755323628613,
+      "acc_norm_stderr,none": 0.005694795296320046,
+      "exact_match,score-first": 0.045672385611171505,
+      "exact_match_stderr,score-first": 0.024089620479639893,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22111111111111112,
+      "acc_stderr,none": 0.013840863699859518,
+      "acc_norm,none": 0.22111111111111112,
+      "acc_norm_stderr,none": 0.013840863699859518,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.03185595567867036,
+      "exact_match_stderr,score-first": 0.006540300095172154,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.3060941828254848,
+      "acc_stderr,none": 0.017163670550803943,
+      "acc_norm,none": 0.16204986149584488,
+      "acc_norm_stderr,none": 0.01372352849077817,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.006072874493927126,
+      "exact_match_stderr,score-first": 0.003499056577953027,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.31781376518218624,
+      "acc_stderr,none": 0.020970769565086228,
+      "acc_norm,none": 0.35020242914979755,
+      "acc_norm_stderr,none": 0.021484495459914724,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.21294602012808783,
+      "acc_stderr,none": 0.006192223457856202,
+      "acc_norm,none": 0.10612991765782251,
+      "acc_norm_stderr,none": 0.004658710368821291,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.08828911253430924,
+      "exact_match_stderr,score-first": 0.0042913283228207064,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.06333333333333334,
+      "exact_match_stderr,score-first": 0.008123232055260209,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.2196307094266278,
+      "acc_stderr,none": 0.01291219452361766,
+      "acc_norm,none": 0.2196307094266278,
+      "acc_norm_stderr,none": 0.01291219452361766,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577797,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577797,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.003,
+      "exact_match_stderr,score-first": 0.0017303161543469228,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3079777365491651,
+      "acc_stderr,none": 0.014067335427669261,
+      "acc_norm,none": 0.3079777365491651,
+      "acc_norm_stderr,none": 0.014067335427669261,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.06771799628942486,
+      "exact_match_stderr,score-first": 0.0076562807170192275,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2469516433240102,
+      "acc_stderr,none": 0.002521729293912833,
+      "acc_norm,none": 0.18576755323628613,
+      "acc_norm_stderr,none": 0.005694795296320046,
+      "exact_match,score-first": 0.045672385611171505,
+      "exact_match_stderr,score-first": 0.024089620479639893,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "195ba8c6"
+}
\ No newline at end of file
diff --git a/pl/test1/results.json b/pl/test1/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..2df3a560f8467e6338191f3dc4416dfa07c77ea7
--- /dev/null
+++ b/pl/test1/results.json
@@ -0,0 +1,104 @@
+{
+  "results": {
+    "polemo2_in": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": "polemo2_in"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0
+  },
+  "n-shot": {
+    "polemo2_in": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b,dtype=bfloat16",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/test2/results.json b/pl/test2/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..5217574aef252cbf43f305f671f0a1442c359168
--- /dev/null
+++ b/pl/test2/results.json
@@ -0,0 +1,104 @@
+{
+  "results": {
+    "polemo2_in": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": "polemo2_in"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 2
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0
+  },
+  "n-shot": {
+    "polemo2_in": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b,dtype=bfloat16",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/test3/results.json b/pl/test3/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..20f4e29cb800cbf191b2ca67fe5ec67e06cfd538
--- /dev/null
+++ b/pl/test3/results.json
@@ -0,0 +1,104 @@
+{
+  "results": {
+    "polemo2_in": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": "polemo2_in"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 2
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0
+  },
+  "n-shot": {
+    "polemo2_in": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha,dtype=bfloat16",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/test4mc/results.json b/pl/test4mc/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..5ded26955fcfd6aa2617d256693e3125afe97eda
--- /dev/null
+++ b/pl/test4mc/results.json
@@ -0,0 +1,82 @@
+{
+  "results": {
+    "polemo2_in2": {
+      "exact_match,score-first": 0.2257617728531856,
+      "exact_match_stderr,score-first": 0.015570224561218982,
+      "alias": "polemo2_in2"
+    }
+  },
+  "configs": {
+    "polemo2_in2": {
+      "task": "polemo2_in2",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "polemo2_in2": 1.0
+  },
+  "n-shot": {
+    "polemo2_in2": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/test4mc2/results.json b/pl/test4mc2/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..532dce8e9320e2a9a0e49ad8f86e4e5fc5cae926
--- /dev/null
+++ b/pl/test4mc2/results.json
@@ -0,0 +1,82 @@
+{
+  "results": {
+    "polemo2_in2": {
+      "exact_match,score-first": 0.03185595567867036,
+      "exact_match_stderr,score-first": 0.006540300095172154,
+      "alias": "polemo2_in2"
+    }
+  },
+  "configs": {
+    "polemo2_in2": {
+      "task": "polemo2_in2",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "polemo2_in2": 1.0
+  },
+  "n-shot": {
+    "polemo2_in2": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/test4mc3/results.json b/pl/test4mc3/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..c002db7eb3ae11dc026da33e5a26a92710de0296
--- /dev/null
+++ b/pl/test4mc3/results.json
@@ -0,0 +1,142 @@
+{
+  "results": {
+    "polemo2_in": {
+      "exact_match,score-first": 0.18,
+      "exact_match_stderr,score-first": 0.038612291966536934,
+      "alias": "polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.32,
+      "exact_match_stderr,score-first": 0.04688261722621504,
+      "alias": "polemo2_out"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": 100.0,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/test4mc_del/results.json b/pl/test4mc_del/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..532dce8e9320e2a9a0e49ad8f86e4e5fc5cae926
--- /dev/null
+++ b/pl/test4mc_del/results.json
@@ -0,0 +1,82 @@
+{
+  "results": {
+    "polemo2_in2": {
+      "exact_match,score-first": 0.03185595567867036,
+      "exact_match_stderr,score-first": 0.006540300095172154,
+      "alias": "polemo2_in2"
+    }
+  },
+  "configs": {
+    "polemo2_in2": {
+      "task": "polemo2_in2",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "polemo2_in2": 1.0
+  },
+  "n-shot": {
+    "polemo2_in2": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file
diff --git a/pl/test4mc_del2/results.json b/pl/test4mc_del2/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..532dce8e9320e2a9a0e49ad8f86e4e5fc5cae926
--- /dev/null
+++ b/pl/test4mc_del2/results.json
@@ -0,0 +1,82 @@
+{
+  "results": {
+    "polemo2_in2": {
+      "exact_match,score-first": 0.03185595567867036,
+      "exact_match_stderr,score-first": 0.006540300095172154,
+      "alias": "polemo2_in2"
+    }
+  },
+  "configs": {
+    "polemo2_in2": {
+      "task": "polemo2_in2",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "polemo2_in2": 1.0
+  },
+  "n-shot": {
+    "polemo2_in2": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}
\ No newline at end of file