TinyBERT-finetuned-NER / config.json
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{
"_name_or_path": "huawei-noah/TinyBERT_General_4L_312D",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"cell": {},
"classifier_dropout": null,
"emb_size": 312,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 312,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2",
"3": "LABEL_3",
"4": "LABEL_4",
"5": "LABEL_5",
"6": "LABEL_6",
"7": "LABEL_7",
"8": "LABEL_8"
},
"initializer_range": 0.02,
"intermediate_size": 1200,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2,
"LABEL_3": 3,
"LABEL_4": 4,
"LABEL_5": 5,
"LABEL_6": 6,
"LABEL_7": 7,
"LABEL_8": 8
},
"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": "4.44.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}