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{
  "_name_or_path": "AutoTrain",
  "_num_labels": 9,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "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,
  "intermediate_size": 3072,
  "label2id": {
    "dokujo-tsushin": 0,
    "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
}