bert4ner-base-chinese / config.json
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{
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"directionality": "bidi",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "I-ORG",
"1": "B-LOC",
"2": "O",
"3": "B-ORG",
"4": "I-LOC",
"5": "I-PER",
"6": "B-TIME",
"7": "I-TIME",
"8": "B-PER"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"I-ORG": 0,
"B-LOC": 1,
"O": 2,
"B-ORG": 3,
"I-LOC": 4,
"I-PER": 5,
"B-TIME": 6,
"I-TIME": 7,
"B-PER": 8
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.12.3",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 21128
}