Update from yihahn
Browse files- config.json +55 -0
- eval_results.txt +5 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- test_predictions.txt +0 -0
- test_results.txt +4 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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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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"8": "B-PHONE",
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"9": "B-PATIENT",
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"10": "B-LOCATION",
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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-DATE": 14,
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"B-DOCTOR": 13,
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"B-HOSPITAL": 12,
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"B-ID": 11,
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"B-LOCATION": 10,
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"B-PATIENT": 9,
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"B-PHONE": 8,
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"I-DATE": 7,
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"I-DOCTOR": 6,
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"I-HOSPITAL": 5,
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"I-ID": 4,
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"I-LOCATION": 3,
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"I-PATIENT": 2,
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"I-PHONE": 1,
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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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}
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eval_results.txt
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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
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:eff4d5ad92db7cae44be9236009eb8fe79fac7e473533abc381d9cf520b30f29
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size 433373485
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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test_predictions.txt
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test_results.txt
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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
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tokenizer_config.json
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{}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:efa1b9666dd81c17015ea49eb1a4a8f118f412b925d23a1e78de04a679fc6604
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size 1327
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vocab.txt
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