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config.json ADDED
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+ {
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+ "_name_or_path": "distilbert-base-uncased",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "Neurology",
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+ "1": "Orthopedic",
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+ "2": "Radiology",
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+ "3": "Gastroenterology",
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+ "4": "Urology"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "Gastroenterology": 3,
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+ "Neurology": 0,
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+ "Orthopedic": 1,
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+ "Radiology": 2,
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+ "Urology": 4
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+ },
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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+ "pad_token_id": 0,
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+ "problem_type": "multi_label_classification",
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.2,
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+ "sinusoidal_pos_embds": false,
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+ "tie_weights_": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.28.1",
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+ "vocab_size": 30522
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+ }
pytorch_model.bin ADDED
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special_tokens_map.json ADDED
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+ {
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+ "sep_token": "[SEP]",
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+ "unk_token": "[UNK]"
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+ }
tokenizer_config.json ADDED
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+ {
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+ "clean_up_tokenization_spaces": true,
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+ "cls_token": "[CLS]",
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+ "do_lower_case": true,
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+ "mask_token": "[MASK]",
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+ "pad_token": "[PAD]",
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+ "sep_token": "[SEP]",
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "DistilBertTokenizer",
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+ "unk_token": "[UNK]"
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+ }
vocab.txt ADDED
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