tiny-clinicalbert / config.json
Mojtaba aka Omid Rohanian
TinyClinicalBERT model and tokeniser
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{
"_name_or_path": "/users/engs2263/clinical-models/models/TinyClinicalBERT/final/model",
"adapters": {
"adapters": {},
"config_map": {},
"fusion_config_map": {},
"fusions": {}
},
"architectures": [
"BertForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"cell": {},
"classifier_dropout": null,
"emb_size": 312,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 312,
"initializer_range": 0.02,
"intermediate_size": 1200,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 4,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"pre_trained": "",
"structure": [],
"torch_dtype": "float32",
"transformers_version": "4.27.0.dev0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}