telecom_arabert_final/config.json

{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": 1,
    "1": 2,
    "2": 3,
    "3": 4,
    "4": 5,
    "5": 6,
    "6": 7,
    "7": 8,
    "8": 9
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "1": 0,
    "2": 1,
    "3": 2,
    "4": 3,
    "5": 4,
    "6": 5,
    "7": 6,
    "8": 7,
    "9": 8
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 31,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "transformers_version": "4.57.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 64000
}