Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "emilyalsentzer/Bio_ClinicalBERT",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "medical",
+    "1": "environmental",
+    "2": "administration",
+    "3": "communication",
+    "4": "condition",
+    "5": "treatment",
+    "6": "food",
+    "7": "clean",
+    "8": "bathroom",
+    "9": "financial",
+    "10": "extra_nice",
+    "11": "rude",
+    "12": "nurse",
+    "13": "doctor"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "bathroom": 8,
+    "clean": 7,
+    "communication": 3,
+    "condition": 4,
+    "doctor": 13,
+    "environmental": 1,
+    "extra_nice": 10,
+    "financial": 9,
+    "food": 6,
+    "medical": 0,
+    "nurse": 12,
+    "rude": 11,
+    "treatment": 5
+  },
+  "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",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.18.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

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special_tokens_map.json

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tokenizer_config.json

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