{
  "add_cross_attention": false,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": null,
  "classifier_dropout": null,
  "dtype": "float32",
  "eos_token_id": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "OM",
    "1": "SD",
    "2": "SA",
    "3": "KW",
    "4": "QA",
    "5": "LB",
    "6": "JO",
    "7": "SY",
    "8": "IQ",
    "9": "MA",
    "10": "EG",
    "11": "PL",
    "12": "YE",
    "13": "BH",
    "14": "DZ",
    "15": "AE",
    "16": "TN",
    "17": "LY"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "is_decoder": false,
  "label2id": {
    "AE": 15,
    "BH": 13,
    "DZ": 14,
    "EG": 10,
    "IQ": 8,
    "JO": 6,
    "KW": 3,
    "LB": 5,
    "LY": 17,
    "MA": 9,
    "OM": 0,
    "PL": 11,
    "QA": 4,
    "SA": 2,
    "SD": 1,
    "SY": 7,
    "TN": 16,
    "YE": 12
  },
  "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",
  "tie_word_embeddings": true,
  "transformers_version": "5.18.0",
  "type_vocab_size": 2,
  "use_cache": false,
  "vocab_size": 64000
}