ner_model_ep3 / config.json
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{
"_name_or_path": "ner_model_ep2",
"activation": "gelu",
"architectures": [
"DistilBertForTokenClassification"
],
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
"hidden_dim": 3072,
"id2label": {
"0": "O",
"1": "B-treatment",
"2": "B-chronic_disease",
"3": "I-chronic_disease",
"4": "I-treatment",
"5": "B-cancer",
"6": "I-cancer",
"7": "B-allergy_name",
"8": "I-allergy_name"
},
"initializer_range": 0.02,
"label2id": {
"B-allergy_name": 7,
"B-cancer": 5,
"B-chronic_disease": 2,
"B-treatment": 1,
"I-allergy_name": 8,
"I-cancer": 6,
"I-chronic_disease": 3,
"I-treatment": 4,
"O": 0
},
"max_position_embeddings": 512,
"model_type": "distilbert",
"n_heads": 12,
"n_layers": 6,
"pad_token_id": 0,
"qa_dropout": 0.1,
"seq_classif_dropout": 0.2,
"sinusoidal_pos_embds": false,
"tie_weights_": true,
"torch_dtype": "float32",
"transformers_version": "4.42.4",
"vocab_size": 30522
}