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{
"_name_or_path": "AutoTrain",
"_num_labels": 9,
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_size": 768,
"id2label": {
"0": "dokujo-tsushin",
"1": "it-life-hack",
"2": "kaden-channel",
"3": "livedoor-homme",
"4": "movie-enter",
"5": "peachy",
"6": "smax",
"7": "sports-watch",
"8": "topic-news"
},
"initializer_range": 0.02,
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"label2id": {
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"it-life-hack": 1,
"kaden-channel": 2,
"livedoor-homme": 3,
"movie-enter": 4,
"peachy": 5,
"smax": 6,
"sports-watch": 7,
"topic-news": 8
},
"layer_norm_eps": 1e-12,
"max_length": 128,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"padding": "max_length",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"tokenizer_class": "BertJapaneseTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.15.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 32768
}