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all_results.json

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+{
+    "epoch": 200.0,
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+    "eval_average_metrics": 79.95936897716001,
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+    "eval_f1_macro": 84.21697409084263,
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+    "eval_f1_weighted": 78.72395009365947,
+    "eval_loss": 0.6754371523857117,
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+    "eval_samples_per_second": 73.029,
+    "init_mem_cpu_alloc_delta": -89677824,
+    "init_mem_cpu_peaked_delta": 89681920,
+    "init_mem_gpu_alloc_delta": 891528192,
+    "init_mem_gpu_peaked_delta": 0,
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+    "test_accuracy": 78.44827586206897,
+    "test_average_metrics": 79.95936897716001,
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+    "train_mem_cpu_alloc_delta": 29777920,
+    "train_mem_cpu_peaked_delta": 310181888,
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+    "train_runtime": 2875.9944,
+    "train_samples": 488,
+    "train_samples_per_second": 1.113
+}

config.json

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+{
+  "_name_or_path": "t5-base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "attn_method": "linear",
+  "attn_prefix_tuning": false,
+  "class_weights": null,
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "relu",
+  "fix_attention": false,
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7"
+  },
+  "ignore_target": false,
+  "init_prefix_method": "random",
+  "initializer_factor": 1.0,
+  "is_contrastive": false,
+  "is_encoder_decoder": true,
+  "label2id": {
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+    "LABEL_1": 1,
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+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
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+  },
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+  "label_token_ids": [
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+  "learned_temperature": false,
+  "max_length": 12,
+  "model_type": "t5",
+  "n_positions": 512,
+  "normalize_prefixes": false,
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "num_target": 1,
+  "output_past": true,
+  "pad_token_id": 0,
+  "prefix_num": 1,
+  "prefix_tuning": false,
+  "relative_attention_num_buckets": 32,
+  "shared_attn": false,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "temperature": 2000,
+  "train_task_adapters": true,
+  "transformers_version": "4.6.0",
+  "use_cache": true,
+  "vocab_size": 32100
+}

eval-predictions.csv

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+id,text
+2,negative
+5,Tammy
+9,False
+16,negative
+21,0:59 it gives me relif?
+24,False
+45,not_equivalent
+47,False
+57,Ddx: Ddx: Ddx
+59,False
+62,False
+64,: please show us the evidence I asked for:
+72,semen
+91,True
+95,False
+100,False
+106,"""Reality"""
+108,False
+109,entailment
+115,False
+124,True
+129,a boater took a boat class: apparently
+130,positive
+139,False
+144,1st Comment
+152,False
+159,canada is under some of the strictest guidelines lol
+160,True
+174,True
+178,False
+186,negative
+189,a friend of mine had a collapsed lung
+193,ederly and obese
+194,True
+199,True
+209,: good initiative: good initiative: good initiative:
+213,what exactly did they expect.
+214,False
+216,True
+226,False
+230,No they haven't.
+246,False
+255,"""How Dare You!"""
+257,negative
+258,True
+259,@hara gopal
+263,classification: PPC 2019 Mad Max.
+268,positive
+270,negative
+287,positive
+288,False
+289,O U C H??
+305,True
+313,instagram account.
+326,
+327,False
+329,
+331,False
+333,True
+336,classification: Climate change is a hoax!
+342,Sarah
+343,False
+348,positive
+358,positive
+360,dalal
+379,: Lots of respect sir????????????
+404,No Friday Im booked all day
+415,@Emerson Rocky
+436,False
+444,True
+448,True
+449,True
+462,not_equivalent
+466,False
+479,????
+482,True
+494,True
+498,False
+501,True
+512,negative
+523,negative
+530,True
+548,"Australians all let us rejoice, we've"
+549,classification: very goiot.
+550,Can use passport instead of classification: Can use passport instead
+554,False
+560,a tyrant...
+565,@Shivendra Diwakar my father was
+567,False
+572,Bruh they treat us like kids
+587,False
+589,False
+592,.
+600,116.Priyanshu Kumar
+611,not_equivalent
+612,classification: underlying illness
+614,False
+616,False
+617,False
+619,False
+623,:
+627,False
+632,True
+633,weather
+639,False
+641,"""""media sources"""
+643,.
+645,False
+651,@Anders Santana it worked and I finally
+652,SCP-049
+653,False
+655,@The Pioneering Pixel
+671,Shawn
+673,-
+677,KGB low paid worker
+682,False

eval_instances_normalized_attn_scores.pt

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eval_results.json

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+    "eval_accuracy": 78.44827586206897,
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+    "eval_classification_report": "{\"0\": {\"precision\": 0.8333333333333334, \"recall\": 0.6756756756756757, \"f1-score\": 0.746268656716418, \"support\": 37.0}, \"1\": {\"precision\": 0.65, \"recall\": 0.8387096774193549, \"f1-score\": 0.7323943661971831, \"support\": 31.0}, \"2\": {\"precision\": 0.9090909090909091, \"recall\": 0.8333333333333334, \"f1-score\": 0.8695652173913043, \"support\": 12.0}, \"3\": {\"precision\": 1.0, \"recall\": 0.875, \"f1-score\": 0.9333333333333333, \"support\": 8.0}, \"4\": {\"precision\": 0.7, \"recall\": 0.7777777777777778, \"f1-score\": 0.7368421052631577, \"support\": 9.0}, \"5\": {\"precision\": 1.0, \"recall\": 0.8888888888888888, \"f1-score\": 0.9411764705882353, \"support\": 9.0}, \"6\": {\"precision\": 0.7777777777777778, \"recall\": 0.7777777777777778, \"f1-score\": 0.7777777777777778, \"support\": 9.0}, \"7\": {\"precision\": 1.0, \"recall\": 1.0, \"f1-score\": 1.0, \"support\": 1.0}, \"micro avg\": {\"precision\": 0.7844827586206896, \"recall\": 0.7844827586206896, \"f1-score\": 0.7844827586206896, \"support\": 116.0}, \"macro avg\": {\"precision\": 0.8587752525252526, \"recall\": 0.833395391359101, \"f1-score\": 0.8421697409084262, \"support\": 116.0}, \"weighted avg\": {\"precision\": 0.8033829676071055, \"recall\": 0.7844827586206896, \"f1-score\": 0.7872395009365947, \"support\": 116.0}, \"samples avg\": {\"precision\": 0.7844827586206896, \"recall\": 0.7844827586206896, \"f1-score\": 0.7844827586206896, \"support\": 116.0}}",
+    "eval_f1_macro": 84.21697409084263,
+    "eval_f1_micro": 78.44827586206897,
+    "eval_f1_weighted": 78.72395009365947,
+    "eval_loss": 0.6754371523857117,
+    "eval_runtime": 1.5884,
+    "eval_samples_per_second": 73.029
+}

performance_results.json

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+{
+    "peak_memory": 5.395798828125,
+    "total_time in minutes ": 47.965
+}

pytorch_model.bin

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special_tokens_map.json

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spiece.model

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test-predictions-1723597418.csv

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test_instances_normalized_attn_scores.pt

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test_results.json

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+}

tokenizer_config.json

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+{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 100, "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"], "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "t5-base"}

train_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 200.0,
+    "init_mem_cpu_alloc_delta": -89677824,
+    "init_mem_cpu_peaked_delta": 89681920,
+    "init_mem_gpu_alloc_delta": 891528192,
+    "init_mem_gpu_peaked_delta": 0,
+    "train_mem_cpu_alloc_delta": 29777920,
+    "train_mem_cpu_peaked_delta": 310181888,
+    "train_mem_gpu_alloc_delta": 40215552,
+    "train_mem_gpu_peaked_delta": 4718911488,
+    "train_runtime": 2875.9944,
+    "train_samples": 488,
+    "train_samples_per_second": 1.113
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c3e59d1ecb3b221e8e78f7b42ab83c6eadd979d587576a0b7832cce8a9040efe
+size 3384