config.json

{
  "_name_or_path": "dbmdz/bert-base-turkish-128k-uncased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Lojistik",
    "1": "Elektrik Kaynagi",
    "2": "Arama Ekipmani",
    "3": "Cenaze",
    "4": "Giysi",
    "5": "Enkaz Kaldirma",
    "6": "Isinma",
    "7": "Bar\u0131nma",
    "8": "Tuvalet",
    "9": "Su",
    "10": "Yemek",
    "11": "Saglik",
    "12": "Alakasiz"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Alakasiz": 12,
    "Arama Ekipmani": 2,
    "Bar\u0131nma": 7,
    "Cenaze": 3,
    "Elektrik Kaynagi": 1,
    "Enkaz Kaldirma": 5,
    "Giysi": 4,
    "Isinma": 6,
    "Lojistik": 0,
    "Saglik": 11,
    "Su": 9,
    "Tuvalet": 8,
    "Yemek": 10
  },
  "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": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.24.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 128000
}