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Upload BertForSequenceClassification

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  1. config.json +46 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "./",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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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": "Aggregate",
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+ "1": "Has Human Subjects",
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+ "2": "Has Target Disease",
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+ "3": "Cohort Study or Clinical Trial",
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+ "4": "Has Quantitative Outcome Measure",
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+ "5": "Has Study Drug(s)",
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+ "6": "Has Population Size",
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+ "7": "Has Comparator Group"
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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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+ "Aggregate": 0,
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+ "Cohort Study or Clinical Trial": 3,
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+ "Has Comparator Group": 7,
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+ "Has Human Subjects": 1,
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+ "Has Population Size": 6,
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+ "Has Quantitative Outcome Measure": 4,
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+ "Has Study Drug(s)": 5,
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+ "Has Target Disease": 2
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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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+ "position_embedding_type": "absolute",
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+ "problem_type": "multi_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.31.0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 28996
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:a6e821b93675d43667b42b6d40123af702475557336586caa92b7e0e86c14d4b
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+ size 433331249