yihahn commited on
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Update from yihahn

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config.json ADDED
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+ {
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+ "architectures": [
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+ "BertForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "O",
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+ "1": "I-PHONE",
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+ "2": "I-PATIENT",
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+ "3": "I-LOCATION",
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+ "4": "I-ID",
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+ "5": "I-HOSPITAL",
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+ "6": "I-DOCTOR",
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+ "7": "I-DATE",
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+ "11": "B-ID",
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+ "12": "B-HOSPITAL",
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+ "13": "B-DOCTOR",
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+ "14": "B-DATE",
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+ "15": "B-AGE"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "B-AGE": 15,
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+ "B-HOSPITAL": 12,
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+ "B-PATIENT": 9,
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+ "B-PHONE": 8,
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+ "I-DOCTOR": 6,
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+ "I-HOSPITAL": 5,
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+ "O": 0
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "type_vocab_size": 2,
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+ "vocab_size": 28996
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+ }
eval_results.txt ADDED
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+ eval_loss = 0.056179164528164516
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+ eval_precision = 0.9467056442545536
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+ eval_recall = 0.9614067138616122
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+ eval_f1 = 0.9539995467935645
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+ epoch = 20.0
pytorch_model.bin ADDED
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special_tokens_map.json ADDED
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+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
test_predictions.txt ADDED
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test_results.txt ADDED
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+ eval_loss = 0.028040687918449426
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+ eval_precision = 0.9520483292429677
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+ eval_recall = 0.9616704805491991
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+ eval_f1 = 0.9568352148752489
tokenizer_config.json ADDED
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+ {}
training_args.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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vocab.txt ADDED
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