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{ |
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"_name_or_path": "cl-tohoku/bert-base-japanese-v3", |
|
"architectures": [ |
|
"BertForSequenceClassification" |
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], |
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"attention_probs_dropout_prob": 0.1, |
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"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, |
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"id2label": { |
|
"0": "Task_Solution", |
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"1": "Creative_Generation", |
|
"2": "Knowledge_Explanation", |
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"3": "Analytical_Reasoning", |
|
"4": "Information_Extraction", |
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"5": "Step_by_Step_Calculation", |
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"6": "Role_Play_Response", |
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"7": "Opinion_Perspective" |
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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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"Analytical_Reasoning": 3, |
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"Creative_Generation": 1, |
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"Information_Extraction": 4, |
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"Knowledge_Explanation": 2, |
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"Opinion_Perspective": 7, |
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"Role_Play_Response": 6, |
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"Step_by_Step_Calculation": 5, |
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"Task_Solution": 0 |
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}, |
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"layer_norm_eps": 1e-12, |
|
"max_position_embeddings": 512, |
|
"model_type": "bert", |
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"num_attention_heads": 12, |
|
"num_hidden_layers": 12, |
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"pad_token_id": 0, |
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"position_embedding_type": "absolute", |
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"problem_type": "single_label_classification", |
|
"torch_dtype": "float32", |
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"transformers_version": "4.46.3", |
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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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|