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Update config.json
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{
"architectures": [
"AlbertForTokenClassification"
],
"attention_probs_dropout_prob": 0,
"bos_token_id": 2,
"classifier_dropout_prob": 0.1,
"down_scale_factor": 1,
"embedding_size": 128,
"eos_token_id": 3,
"gap_size": 0,
"hidden_act": "gelu_new",
"hidden_dropout_prob": 0,
"hidden_size": 768,
"id2label": {
"0": "B-event",
"1": "B-fac",
"2": "B-loc",
"3": "B-org",
"4": "B-pers",
"5": "B-pro",
"6": "I-event",
"7": "I-fac",
"8": "I-loc",
"9": "I-org",
"10": "I-pers",
"11": "I-pro",
"12": "O"
},
"initializer_range": 0.02,
"inner_group_num": 1,
"intermediate_size": 3072,
"label2id": {
"B-event": 0,
"B-fac": 1,
"B-loc": 2,
"B-org": 3,
"B-pers": 4,
"B-pro": 5,
"I-event": 6,
"I-fac": 7,
"I-loc": 8,
"I-org": 9,
"I-pers": 10,
"I-pro": 11,
"O": 12
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "albert",
"net_structure_type": 0,
"num_attention_heads": 12,
"num_hidden_groups": 1,
"num_hidden_layers": 12,
"num_memory_blocks": 0,
"pad_token_id": 0,
"type_vocab_size": 2,
"vocab_size": 80000
}