| { | |
| "_name_or_path": "dmis-lab/biobert-base-cased-v1.2", | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-Disease", | |
| "2": "I-Disease" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "B-Disease": 1, | |
| "I-Disease": 2, | |
| "O": 0 | |
| }, | |
| "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", | |
| "test_args": { | |
| "dataset": "ncbi_disease", | |
| "model": "dmis-lab/biobert-base-cased-v1.2", | |
| "subword_alignment": "all", | |
| "task": "ner", | |
| "train_args": { | |
| "batch_size": 4, | |
| "epochs": 3, | |
| "learning_rate": 2e-05, | |
| "warmup_ratio": 0.1, | |
| "weight_decay": 0.01 | |
| } | |
| }, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.18.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 28996 | |
| } | |