ner_cv / config.json
nhanv
upload model
dd20389
{
"_name_or_path": "microsoft/deberta-v3-base",
"architectures": [
"DebertaV2ForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"finetuning_task": "ner",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-Company",
"1": "B-Date",
"2": "B-Degree",
"3": "B-Education",
"4": "B-Email",
"5": "B-Experiments",
"6": "B-Gender",
"7": "B-Institution",
"8": "B-Job",
"9": "B-Language",
"10": "B-Location",
"11": "B-Name",
"12": "B-Overall",
"13": "B-Phone",
"14": "B-Position",
"15": "B-Program",
"16": "B-Project",
"17": "B-Skill",
"18": "B-Training",
"19": "I-Company",
"20": "I-Date",
"21": "I-Degree",
"22": "I-Education",
"23": "I-Email",
"24": "I-Experiments",
"25": "I-Gender",
"26": "I-Institution",
"27": "I-Job",
"28": "I-Language",
"29": "I-Location",
"30": "I-Name",
"31": "I-Overall",
"32": "I-Phone",
"33": "I-Position",
"34": "I-Program",
"35": "I-Project",
"36": "I-Skill",
"37": "I-Training",
"38": "O"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-Company": 0,
"B-Date": 1,
"B-Degree": 2,
"B-Education": 3,
"B-Email": 4,
"B-Experiments": 5,
"B-Gender": 6,
"B-Institution": 7,
"B-Job": 8,
"B-Language": 9,
"B-Location": 10,
"B-Name": 11,
"B-Overall": 12,
"B-Phone": 13,
"B-Position": 14,
"B-Program": 15,
"B-Project": 16,
"B-Skill": 17,
"B-Training": 18,
"I-Company": 19,
"I-Date": 20,
"I-Degree": 21,
"I-Education": 22,
"I-Email": 23,
"I-Experiments": 24,
"I-Gender": 25,
"I-Institution": 26,
"I-Job": 27,
"I-Language": 28,
"I-Location": 29,
"I-Name": 30,
"I-Overall": 31,
"I-Phone": 32,
"I-Position": 33,
"I-Program": 34,
"I-Project": 35,
"I-Skill": 36,
"I-Training": 37,
"O": 38
},
"layer_norm_eps": 1e-07,
"max_position_embeddings": 512,
"max_relative_positions": -1,
"model_type": "deberta-v2",
"norm_rel_ebd": "layer_norm",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"pooler_dropout": 0,
"pooler_hidden_act": "gelu",
"pooler_hidden_size": 768,
"pos_att_type": [
"p2c",
"c2p"
],
"position_biased_input": false,
"position_buckets": 256,
"relative_attention": true,
"share_att_key": true,
"torch_dtype": "float32",
"transformers_version": "4.22.2",
"type_vocab_size": 0,
"vocab_size": 128100
}