Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
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+  "classifier_dropout": 0.2,
+  "hidden_act": "gelu",
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+    "5": "B-SUBCELLULAR",
+    "6": "I-SUBCELLULAR",
+    "7": "B-CELL_TYPE",
+    "8": "I-CELL_TYPE",
+    "9": "B-TISSUE",
+    "10": "I-TISSUE",
+    "11": "B-ORGANISM",
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+    "13": "B-EXP_ASSAY",
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+    "15": "B-DISEASE",
+    "16": "I-DISEASE",
+    "17": "B-CELL_LINE",
+    "18": "I-CELL_LINE"
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+  "label2id": {
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+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 512,
+  "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": "4.46.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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training_args.bin

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