Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "dmis-lab/biobert-v1.1",
+  "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": "B-DATE",
+    "2": "I-DATE",
+    "3": "B-PATIENT",
+    "4": "I-PATIENT",
+    "5": "B-MEDICALRECORD",
+    "6": "I-MEDICALRECORD",
+    "7": "B-HOSPITAL",
+    "8": "I-HOSPITAL",
+    "9": "B-STREET",
+    "10": "I-STREET",
+    "11": "B-CITY",
+    "12": "I-CITY",
+    "13": "B-STATE",
+    "14": "I-STATE",
+    "15": "B-ZIP",
+    "16": "I-ZIP",
+    "17": "B-PHONE",
+    "18": "I-PHONE",
+    "19": "B-DOCTOR",
+    "20": "I-DOCTOR",
+    "21": "B-AGE",
+    "22": "I-AGE",
+    "23": "B-IDNUM",
+    "24": "I-IDNUM",
+    "25": "B-USERNAME",
+    "26": "I-USERNAME",
+    "27": "B-PROFESSION",
+    "28": "I-PROFESSION",
+    "29": "B-ORGANIZATION",
+    "30": "I-ORGANIZATION",
+    "31": "B-COUNTRY",
+    "32": "I-COUNTRY",
+    "33": "B-LOCATION-OTHER",
+    "34": "I-LOCATION-OTHER",
+    "35": "B-EMAIL",
+    "36": "I-EMAIL",
+    "37": "B-BIOID",
+    "38": "I-BIOID",
+    "39": "B-DEVICE",
+    "40": "I-DEVICE",
+    "41": "B-URL",
+    "42": "I-URL",
+    "43": "B-HEALTHPLAN",
+    "44": "I-HEALTHPLAN"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-AGE": 21,
+    "B-BIOID": 37,
+    "B-CITY": 11,
+    "B-COUNTRY": 31,
+    "B-DATE": 1,
+    "B-DEVICE": 39,
+    "B-DOCTOR": 19,
+    "B-EMAIL": 35,
+    "B-HEALTHPLAN": 43,
+    "B-HOSPITAL": 7,
+    "B-IDNUM": 23,
+    "B-LOCATION-OTHER": 33,
+    "B-MEDICALRECORD": 5,
+    "B-ORGANIZATION": 29,
+    "B-PATIENT": 3,
+    "B-PHONE": 17,
+    "B-PROFESSION": 27,
+    "B-STATE": 13,
+    "B-STREET": 9,
+    "B-URL": 41,
+    "B-USERNAME": 25,
+    "B-ZIP": 15,
+    "I-AGE": 22,
+    "I-BIOID": 38,
+    "I-CITY": 12,
+    "I-COUNTRY": 32,
+    "I-DATE": 2,
+    "I-DEVICE": 40,
+    "I-DOCTOR": 20,
+    "I-EMAIL": 36,
+    "I-HEALTHPLAN": 44,
+    "I-HOSPITAL": 8,
+    "I-IDNUM": 24,
+    "I-LOCATION-OTHER": 34,
+    "I-MEDICALRECORD": 6,
+    "I-ORGANIZATION": 30,
+    "I-PATIENT": 4,
+    "I-PHONE": 18,
+    "I-PROFESSION": 28,
+    "I-STATE": 14,
+    "I-STREET": 10,
+    "I-URL": 42,
+    "I-USERNAME": 26,
+    "I-ZIP": 16,
+    "O": 0
+  },
+  "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": "4.31.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

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runs/Aug18_07-02-07_85138ca05abf/events.out.tfevents.1692342312.85138ca05abf.3381.0

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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_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "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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