italian_medical_ner / config.json
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{
"_name_or_path": "bert-base-cased",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-PROBLEM",
"2": "I-PROBLEM",
"3": "E-PROBLEM",
"4": "S-PROBLEM",
"5": "B-TREATMENT",
"6": "I-TREATMENT",
"7": "E-TREATMENT",
"8": "S-TREATMENT",
"9": "B-TEST",
"10": "I-TEST",
"11": "E-TEST",
"12": "S-TEST"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"O": 0,
"B-PROBLEM": 1,
"I-PROBLEM": 2,
"E-PROBLEM": 3,
"S-PROBLEM": 4,
"B-TREATMENT": 5,
"I-TREATMENT": 6,
"E-TREATMENT": 7,
"S-TREATMENT": 8,
"B-TEST": 9,
"I-TEST": 10,
"E-TEST": 11,
"S-TEST": 12
},
"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",
"torch_dtype": "float32",
"transformers_version": "4.28.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}