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": "Genitive Drop",
    "1": "Subject CP Drop",
    "2": "Subject Drop",
    "3": "VP Ellipsis",
    "4": "Stripping",
    "5": "Object Drop",
    "6": "Argument Drop",
    "7": "Gapping",
    "8": "default",
    "9": "NP Drop",
    "10": "Ki Expression",
    "11": "d",
    "12": "Object CP Drop",
    "13": "TBD",
    "14": "No Ellipsis",
    "15": "Fragment"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Argument Drop": 6,
    "Fragment": 15,
    "Gapping": 7,
    "Genitive Drop": 0,
    "Ki Expression": 10,
    "NP Drop": 9,
    "No Ellipsis": 14,
    "Object CP Drop": 12,
    "Object Drop": 5,
    "Stripping": 4,
    "Subject CP Drop": 1,
    "Subject Drop": 2,
    "TBD": 13,
    "VP Ellipsis": 3,
    "d": 11,
    "default": 8
  },
  "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": 128000
}