config.json

{
  "_name_or_path": "aubmindlab/bert-base-arabertv02-twitter",
  "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": "R:IS",
    "1": "R:Ju",
    "2": "R:Chr",
    "3": "R_UD",
    "4": "E:AR",
    "5": "E:Af",
    "6": "E_UD",
    "7": "N:Ir",
    "8": "N:Is",
    "9": "N:Sa",
    "10": "N:Tu",
    "11": "N:Qa",
    "12": "N:Am",
    "13": "N_UD",
    "14": "G:G",
    "15": "G:B",
    "16": "G_UD",
    "17": "UDT",
    "18": "ClT"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "ClT": 18,
    "E:AR": 4,
    "E:Af": 5,
    "E_UD": 6,
    "G:B": 15,
    "G:G": 14,
    "G_UD": 16,
    "N:Am": 12,
    "N:Ir": 7,
    "N:Is": 8,
    "N:Qa": 11,
    "N:Sa": 9,
    "N:Tu": 10,
    "N_UD": 13,
    "R:Chr": 2,
    "R:IS": 0,
    "R:Ju": 1,
    "R_UD": 3,
    "UDT": 17
  },
  "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": "4.48.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 64000
}