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{
"_name_or_path": "9class/",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "\u559c\u3073",
"1": "\u60b2\u3057\u307f",
"2": "\u671f\u5f85",
"3": "\u9a5a\u304d",
"4": "\u6012\u308a",
"5": "\u6050\u308c",
"6": "\u5acc\u60aa",
"7": "\u4fe1\u983c",
"8": "\u4e2d\u7acb"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"\u4e2d\u7acb": 8,
"\u4fe1\u983c": 7,
"\u559c\u3073": 0,
"\u5acc\u60aa": 6,
"\u6012\u308a": 4,
"\u6050\u308c": 5,
"\u60b2\u3057\u307f": 1,
"\u671f\u5f85": 2,
"\u9a5a\u304d": 3
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.44.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 32768
}