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{
  "_name_or_path": "dbmdz/bert-base-turkish-cased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "K\u00fclt\u00fcr-Sanat",
    "1": "Ekonomi",
    "2": "Siyaset",
    "3": "E\u011fitim",
    "4": "D\u00fcnya",
    "5": "Spor",
    "6": "Teknoloji",
    "7": "Magazin",
    "8": "Sa\u011fl\u0131k",
    "9": "G\u00fcndem"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "D\u00fcnya": 4,
    "Ekonomi": 1,
    "E\u011fitim": 3,
    "G\u00fcndem": 9,
    "K\u00fclt\u00fcr-Sanat": 0,
    "Magazin": 7,
    "Sa\u011fl\u0131k": 8,
    "Siyaset": 2,
    "Spor": 5,
    "Teknoloji": 6
  },
  "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": "4.35.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 32000
}