End of training

.gitignore

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+checkpoint-*/

all_results.json

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+{
+    "eval_accuracy": 0.8607594966888428,
+    "eval_loss": 0.88071209192276,
+    "eval_runtime": 16.4672,
+    "eval_samples": 1395,
+    "eval_samples_per_second": 86.354,
+    "eval_steps_per_second": 10.809
+}

config.json

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+{
+  "_name_or_path": "/nas/home/jiashuxu/NQA/scripts/ft/biolinkbert_mednli",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "entailment",
+    "1": "neutral",
+    "2": "contradiction"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "contradiction": 2,
+    "entailment": 0,
+    "neutral": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.22.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28895
+}

eval_results.json

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+{
+    "eval_accuracy": 0.8788530230522156,
+    "eval_loss": 0.7853102684020996,
+    "eval_runtime": 20.2894,
+    "eval_samples": 1395,
+    "eval_samples_per_second": 68.755,
+    "eval_steps_per_second": 8.625
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

test_results.json

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+{
+    "eval_accuracy": 0.8607594966888428,
+    "eval_loss": 0.88071209192276,
+    "eval_runtime": 16.4672,
+    "eval_samples": 1395,
+    "eval_samples_per_second": 86.354,
+    "eval_steps_per_second": 10.809
+}

tokenizer_config.json

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+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "name_or_path": "/nas/home/jiashuxu/NQA/scripts/ft/biolinkbert_mednli",
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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