{
  "_name_or_path": "CAMeL-Lab/bert-base-arabic-camelbert-msa",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "OM - \u0639\u0645\u0627\u0646",
    "1": "SD - \u0627\u0644\u0633\u0648\u062f\u0627\u0646",
    "2": "SA - \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629",
    "3": "KW - \u0627\u0644\u0643\u0648\u064a\u062a",
    "4": "QA - \u0642\u0637\u0631",
    "5": "LB - \u0644\u064a\u0628\u064a\u0627",
    "6": "JO - \u0627\u0644\u0623\u0631\u062f\u0646",
    "7": "SY - \u0633\u0648\u0631\u064a\u0627",
    "8": "IQ - \u0627\u0644\u0639\u0631\u0627\u0642",
    "9": "MA - \u0627\u0644\u0645\u063a\u0631\u0628",
    "10": "EG - \u0645\u0635\u0631",
    "11": "PL - \u0641\u0644\u0633\u0637\u064a\u0646",
    "12": "YE - \u0627\u0644\u064a\u0645\u0646",
    "13": "BH - \u0627\u0644\u0628\u062d\u0631\u064a\u0646",
    "14": "DZ - \u0627\u0644\u062c\u0632\u0627\u0626\u0631",
    "15": "AE - \u0627\u0644\u0625\u0645\u0627\u0631\u0627\u062a",
    "16": "TN - \u062a\u0648\u0646\u0633",
    "17": "LY - \u0644\u0628\u0646\u0627\u0646"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
    "LABEL_11": 11,
    "LABEL_12": 12,
    "LABEL_13": 13,
    "LABEL_14": 14,
    "LABEL_15": 15,
    "LABEL_16": 16,
    "LABEL_17": 17,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "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": "4.20.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30000
}