rubert_ner_SDDCS / config.json
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Improving weights
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{
"_name_or_path": "cointegrated/rubert-tiny2",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"emb_size": 312,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 312,
"id2label": {
"0": "B-GENDER",
"1": "O",
"2": "B-DISEASE",
"3": "I-DISEASE",
"4": "B-SYMPTOM",
"5": "I-SYMPTOM",
"6": "B-SPECIALITY",
"7": "B-CITY",
"8": "B-SUBWAY",
"9": "I-SUBWAY",
"10": "B-DRUG",
"11": "B-AGE",
"12": "I-CITY",
"13": "I-AGE"
},
"initializer_range": 0.02,
"intermediate_size": 600,
"label2id": {
"B-AGE": 11,
"B-CITY": 7,
"B-DISEASE": 2,
"B-DRUG": 10,
"B-GENDER": 0,
"B-SPECIALITY": 6,
"B-SUBWAY": 8,
"B-SYMPTOM": 4,
"I-AGE": 13,
"I-CITY": 12,
"I-DISEASE": 3,
"I-SUBWAY": 9,
"I-SYMPTOM": 5,
"O": 1
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 2048,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 3,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.44.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 83828
}