Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "bert-base-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "Age",
+    "2": "Sex",
+    "3": "Clinical_event",
+    "4": "Nonbiological_location",
+    "5": "Duration",
+    "6": "Severity",
+    "7": "Biological_structure",
+    "8": "Sign_symptom",
+    "9": "History",
+    "10": "Lab_value",
+    "11": "Therapeutic_procedure",
+    "12": "Diagnostic_procedure",
+    "13": "Personal_background",
+    "14": "Date",
+    "15": "Disease_disorder",
+    "16": "Volume",
+    "17": "Frequency",
+    "18": "Detailed_description",
+    "19": "Occupation",
+    "20": "Activity",
+    "21": "Qualitative_concept",
+    "22": "Subject",
+    "23": "Distance",
+    "24": "Other_event",
+    "25": "Medication",
+    "26": "Family_history",
+    "27": "Dosage",
+    "28": "Color",
+    "29": "Time",
+    "30": "Outcome",
+    "31": "Biological_attribute",
+    "32": "Quantitative_concept",
+    "33": "Texture",
+    "34": "Coreference",
+    "35": "Shape",
+    "36": "Height",
+    "37": "Mass",
+    "38": "Area"
+  },
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "Age": 1,
+    "Area": 38,
+    "Biological_attribute": 31,
+    "Biological_structure": 7,
+    "Clinical_event": 3,
+    "Color": 28,
+    "Coreference": 34,
+    "Date": 14,
+    "Detailed_description": 18,
+    "Diagnostic_procedure": 12,
+    "Disease_disorder": 15,
+    "Distance": 23,
+    "Dosage": 27,
+    "Duration": 5,
+    "Family_history": 26,
+    "Frequency": 17,
+    "Height": 36,
+    "History": 9,
+    "Lab_value": 10,
+    "Mass": 37,
+    "Medication": 25,
+    "Nonbiological_location": 4,
+    "O": 0,
+    "Occupation": 19,
+    "Other_event": 24,
+    "Outcome": 30,
+    "Personal_background": 13,
+    "Qualitative_concept": 21,
+    "Quantitative_concept": 32,
+    "Severity": 6,
+    "Sex": 2,
+    "Shape": 35,
+    "Sign_symptom": 8,
+    "Subject": 22,
+    "Texture": 33,
+    "Therapeutic_procedure": 11,
+    "Time": 29,
+    "Volume": 16
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

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runs/Jun14_06-13-23_u116734/1686748413.4558046/events.out.tfevents.1686748413.u116734.308455.5

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runs/Jun14_06-13-23_u116734/events.out.tfevents.1686748413.u116734.308455.4

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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]"
+}

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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