ner_model / config.json
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{
"_name_or_path": "distilbert/distilbert-base-uncased",
"activation": "gelu",
"architectures": [
"DistilBertForTokenClassification"
],
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
"hidden_dim": 3072,
"id2label": {
"0": "O",
"1": "B-corporation",
"2": "I-corporation",
"3": "B-creative-work",
"4": "I-creative-work",
"5": "B-group",
"6": "I-group",
"7": "B-location",
"8": "I-location",
"9": "B-person",
"10": "I-person",
"11": "B-product",
"12": "I-product"
},
"initializer_range": 0.02,
"label2id": {
"B-corporation": 1,
"B-creative-work": 3,
"B-group": 5,
"B-location": 7,
"B-person": 9,
"B-product": 11,
"I-corporation": 2,
"I-creative-work": 4,
"I-group": 6,
"I-location": 8,
"I-person": 10,
"I-product": 12,
"O": 0
},
"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,
"torch_dtype": "float32",
"transformers_version": "4.46.2",
"vocab_size": 30522
}