initial model commit

config.json

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+{
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+  "architectures": [
+    "BertForTokenClassification"
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+  "hidden_act": "gelu",
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+  "id2label": {
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+    "1": "B-treatment",
+    "2": "I-test",
+    "3": "I-treatment",
+    "4": "B-test",
+    "5": "O",
+    "6": "I-problem"
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+    "O": 5
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+  "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",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

optimizer.pt

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pytorch_model.bin

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scheduler.pt

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tokenizer_config.json

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trainer_state.json

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+  "num_train_epochs": 3,
+  "total_flos": 2843017475953152,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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