| { | |
| "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 | |
| } |