classification_v4 / config.json
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{
"add_cross_attention": false,
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": null,
"classifier_dropout": null,
"directionality": "bidi",
"dtype": "float32",
"eos_token_id": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "\u656c\u8001\u611b\u5fc3\u5361",
"1": "\u8001\u4eba\u5065\u4fdd\u88dc\u52a9",
"2": "\u91cd\u967d\u79ae\u91d1"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"label2id": {
"\u656c\u8001\u611b\u5fc3\u5361": 0,
"\u8001\u4eba\u5065\u4fdd\u88dc\u52a9": 1,
"\u91cd\u967d\u79ae\u91d1": 2
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_type": "first_token_transform",
"problem_type": "single_label_classification",
"tie_word_embeddings": true,
"transformers_version": "5.0.0",
"type_vocab_size": 2,
"use_cache": false,
"vocab_size": 21128
}