Done

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "emilyalsentzer/Bio_ClinicalBERT",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-Cancer",
+    "1": "O",
+    "2": "B-Cell",
+    "3": "I-Cell",
+    "4": "B-Organ",
+    "5": "B-Gene_or_gene_product",
+    "6": "I-Gene_or_gene_product",
+    "7": "I-Cancer",
+    "8": "I-Organ"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Cancer": 0,
+    "B-Cell": 2,
+    "B-Gene_or_gene_product": 5,
+    "B-Organ": 4,
+    "I-Cancer": 7,
+    "I-Cell": 3,
+    "I-Gene_or_gene_product": 6,
+    "I-Organ": 8,
+    "O": 1
+  },
+  "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": "4.22.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

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runs/Sep23_19-50-06_bf668db1ef65/1663962615.4751086/events.out.tfevents.1663962615.bf668db1ef65.239.1

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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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+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "name_or_path": "emilyalsentzer/Bio_ClinicalBERT",
+  "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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