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{ |
|
"_name_or_path": "bert-base-chinese", |
|
"architectures": [ |
|
"BertForSequenceClassification" |
|
], |
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"attention_probs_dropout_prob": 0.1, |
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"classifier_dropout": null, |
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"directionality": "bidi", |
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"hidden_act": "gelu", |
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"hidden_dropout_prob": 0.1, |
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"hidden_size": 768, |
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"id2label": { |
|
"0": "\u5f00\u8f66\u7a97", |
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"1": "\u5173\u5de6\u8f66\u95e8", |
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"2": "\u5173\u53f3\u524d\u8f66\u7a97", |
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"3": "\u5173\u95ed\u5f15\u64ce", |
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"4": "\u5173\u5de6\u524d\u8f66\u7a97", |
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"5": "\u5f00\u53f3\u524d\u8f66\u7a97", |
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"6": "\u5173\u5de6\u540e\u8f66\u7a97", |
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"7": "\u5f00\u5de6\u540e\u8f66\u7a97", |
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"8": "\u5f00\u540e\u5907\u7bb1", |
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"9": "\u5173\u8f66\u95e8", |
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"10": "\u5173\u8f66\u7a97", |
|
"11": "\u5f00\u5de6\u524d\u8f66\u7a97", |
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"12": "\u5173\u53f3\u540e\u8f66\u7a97", |
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"13": "\u5f00\u655e\u7bf7", |
|
"14": "\u5f00\u5de6\u4fa7\u8f66\u7a97", |
|
"15": "\u5173\u655e\u7bf7", |
|
"16": "\u5587\u53ed", |
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"17": "\u5f00\u53f3\u540e\u8f66\u7a97", |
|
"18": "\u5f00\u53f3\u8f66\u95e8", |
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"19": "\u505c\u8f66\u70b91", |
|
"20": "\u5173\u540e\u5907\u7bb1", |
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"21": "\u5173\u53f3\u8f66\u95e8", |
|
"22": "\u5f00\u5de6\u8f66\u95e8", |
|
"23": "\u505c\u8f66\u70b92", |
|
"24": "\u5f00\u8f66\u95e8", |
|
"25": "\u6253\u5f00\u5f15\u64ce", |
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"26": "\u5173\u5de6\u4fa7\u8f66\u7a97" |
|
}, |
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"initializer_range": 0.02, |
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"intermediate_size": 3072, |
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"label2id": { |
|
"\u505c\u8f66\u70b91": 19, |
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"\u505c\u8f66\u70b92": 23, |
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"\u5173\u53f3\u524d\u8f66\u7a97": 2, |
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"\u5173\u53f3\u540e\u8f66\u7a97": 12, |
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"\u5173\u53f3\u8f66\u95e8": 21, |
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"\u5173\u540e\u5907\u7bb1": 20, |
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"\u5173\u5de6\u4fa7\u8f66\u7a97": 26, |
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"\u5173\u5de6\u524d\u8f66\u7a97": 4, |
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"\u5173\u5de6\u540e\u8f66\u7a97": 6, |
|
"\u5173\u5de6\u8f66\u95e8": 1, |
|
"\u5173\u655e\u7bf7": 15, |
|
"\u5173\u8f66\u7a97": 10, |
|
"\u5173\u8f66\u95e8": 9, |
|
"\u5173\u95ed\u5f15\u64ce": 3, |
|
"\u5587\u53ed": 16, |
|
"\u5f00\u53f3\u524d\u8f66\u7a97": 5, |
|
"\u5f00\u53f3\u540e\u8f66\u7a97": 17, |
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"\u5f00\u53f3\u8f66\u95e8": 18, |
|
"\u5f00\u540e\u5907\u7bb1": 8, |
|
"\u5f00\u5de6\u4fa7\u8f66\u7a97": 14, |
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"\u5f00\u5de6\u524d\u8f66\u7a97": 11, |
|
"\u5f00\u5de6\u540e\u8f66\u7a97": 7, |
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"\u5f00\u5de6\u8f66\u95e8": 22, |
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"\u5f00\u655e\u7bf7": 13, |
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"\u5f00\u8f66\u7a97": 0, |
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"\u5f00\u8f66\u95e8": 24, |
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"\u6253\u5f00\u5f15\u64ce": 25 |
|
}, |
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"layer_norm_eps": 1e-12, |
|
"max_position_embeddings": 512, |
|
"model_type": "bert", |
|
"num_attention_heads": 12, |
|
"num_hidden_layers": 12, |
|
"pad_token_id": 0, |
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"pooler_fc_size": 768, |
|
"pooler_num_attention_heads": 12, |
|
"pooler_num_fc_layers": 3, |
|
"pooler_size_per_head": 128, |
|
"pooler_type": "first_token_transform", |
|
"position_embedding_type": "absolute", |
|
"problem_type": "single_label_classification", |
|
"torch_dtype": "float32", |
|
"transformers_version": "4.38.2", |
|
"type_vocab_size": 2, |
|
"use_cache": true, |
|
"vocab_size": 21128 |
|
} |
|
|