resume-ner / config.json
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{
"activation": "gelu",
"architectures": [
"DistilBertForTokenClassification"
],
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
"hidden_dim": 3072,
"id2label": {
"0": "CARDINAL",
"1": "GPE",
"2": "Phone",
"3": "Skills",
"4": "ORG",
"5": "EducationDegree",
"6": "ExperianceYears",
"7": "DATE",
"8": "PERSON",
"9": "Designation",
"10": "O"
},
"initializer_range": 0.02,
"label2id": {
"CARDINAL": 0,
"DATE": 7,
"Designation": 9,
"EducationDegree": 5,
"ExperianceYears": 6,
"GPE": 1,
"O": 10,
"ORG": 4,
"PERSON": 8,
"Phone": 2,
"Skills": 3
},
"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,
"vocab_size": 30522
}