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{
"architectures": [
"TokenClassificationModel"
],
"attention_probs_dropout_prob": 0.1,
"auto_map": {
"AutoModelForTokenClassification": "modeling.TokenClassificationModel"
},
"backbone_model_name": "/mnt/DATA/DT4H/NER_task/CardioLM_paper_models/base_models/CardioBERTa_es",
"bos_token_id": 0,
"class_weights": null,
"classifier_dropout": 0.1,
"classifier_hidden_layers": null,
"custom_model_type": "TokenClassificationModel",
"dtype": "bfloat16",
"eos_token_id": 2,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-PROCEDURE",
"2": "I-PROCEDURE"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-PROCEDURE": 1,
"I-PROCEDURE": 2,
"O": 0
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"requires_trust_remote_code": true,
"transformers_version": "4.56.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 52000
}