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Update config.json
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{
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-date",
"1": "B-event",
"2": "B-facility",
"3": "B-location",
"4": "B-money",
"5": "B-organization",
"6": "B-percent",
"7": "B-person",
"8": "B-product",
"9": "B-time",
"10": "I-date",
"11": "I-event",
"12": "I-facility",
"13": "I-location",
"14": "I-money",
"15": "I-organization",
"16": "I-percent",
"17": "I-person",
"18": "I-product",
"19": "I-time",
"20": "O"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-date": 0,
"B-event": 1,
"B-facility": 2,
"B-location": 3,
"B-money": 4,
"B-organization": 5,
"B-percent": 6,
"B-person": 7,
"B-product": 8,
"B-time": 9,
"I-date": 10,
"I-event": 11,
"I-facility": 12,
"I-location": 13,
"I-money": 14,
"I-organization": 15,
"I-percent": 16,
"I-person": 17,
"I-product": 18,
"I-time": 19,
"O": 20
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"type_vocab_size": 2,
"vocab_size": 100000
}