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{ |
|
"_name_or_path": "cl-tohoku/bert-base-japanese-v3", |
|
"architectures": [ |
|
"BertForSequenceClassification" |
|
], |
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"attention_probs_dropout_prob": 0.1, |
|
"classifier_dropout": null, |
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"hidden_act": "gelu", |
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"hidden_dropout_prob": 0.1, |
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"hidden_size": 768, |
|
"id2label": { |
|
"0": "\u4e8b\u5b9f\u6587", |
|
"1": "\u8cea\u554f\u6587", |
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"2": "\u8aac\u660e\u6587", |
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"3": "\u610f\u898b\u6587", |
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"4": "\u305d\u306e\u4ed6" |
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}, |
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"initializer_range": 0.02, |
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"intermediate_size": 3072, |
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"label2id": { |
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"\u305d\u306e\u4ed6": 4, |
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"\u4e8b\u5b9f\u6587": 0, |
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"\u610f\u898b\u6587": 3, |
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"\u8aac\u660e\u6587": 2, |
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"\u8cea\u554f\u6587": 1 |
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}, |
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"layer_norm_eps": 1e-12, |
|
"max_position_embeddings": 512, |
|
"model_type": "bert", |
|
"num_attention_heads": 12, |
|
"num_hidden_layers": 12, |
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"pad_token_id": 0, |
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"position_embedding_type": "absolute", |
|
"problem_type": "single_label_classification", |
|
"torch_dtype": "float32", |
|
"transformers_version": "4.31.0", |
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"type_vocab_size": 2, |
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"use_cache": true, |
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"vocab_size": 32768 |
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} |
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|