Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "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": "Cause Analysis",
+    "1": "Precaution",
+    "2": "Result Description",
+    "3": "Effect",
+    "4": "Medical Advice",
+    "5": "Unknown",
+    "6": "Medical Knowledge",
+    "7": "Diagnosis",
+    "8": "Treatment Plan",
+    "9": "Disease Description"
+  },
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "Diagnosis": 7,
+    "Disease Description": 9,
+    "Effect": 3,
+    "Medical Advice": 4,
+    "Medical Knowledge": 6,
+    "Precaution": 1,
+    "Result Description": 2,
+    "Treatment Plan": 8,
+    "Unknown": 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": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

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special_tokens_map.json

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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

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