datafun / 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": "O",
"1": "B-LOC",
"2": "I-LOC",
"3": "B-MISC",
"4": "I-MISC",
"5": "B-ORG",
"6": "I-ORG",
"13": "B-PER",
"14": "I-PER"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-LOC": 1,
"B-MISC": 3,
"B-ORG": 5,
"0": 7,
"0": 9,
"0": 11,
"B-PER": 13,
"0": 15,
"0": 17,
"0": 19,
"I-LOC": 2,
"I-MISC": 4,
"I-ORG": 6,
"0": 8,
"0": 10,
"0": 12,
"I-PER": 14,
"0": 16,
"0": 18,
"0": 20,
"O": 0,
"0": 21,
"0": 22,
"0": 23,
"0": 24,
"0": 25,
"0": 26,
"0": 27,
"0": 28,
"0": 29,
"0": 30,
"0": 31
},
"layer_norm_eps": 1e-12,
"max_LOC_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"vocab_size": 21128
}