| { | |
| "_name_or_path": "bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
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| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "Epidemic Forecasting", | |
| "1": "Treatment", | |
| "2": "Prevention", | |
| "3": "Mechanism", | |
| "4": "Case Report", | |
| "5": "Transmission", | |
| "6": "Diagnosis" | |
| }, | |
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| "intermediate_size": 3072, | |
| "label2id": { | |
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| "Diagnosis": 6, | |
| "Epidemic Forecasting": 0, | |
| "Mechanism": 3, | |
| "Prevention": 2, | |
| "Transmission": 5, | |
| "Treatment": 1 | |
| }, | |
| "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": "multi_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.28.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |