config.json

{
  "_name_or_path": "aubmindlab/bert-base-arabertv2",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Investigations",
    "1": "accidents",
    "2": "arab",
    "3": "art",
    "4": "caricature",
    "5": "culture",
    "6": "economy",
    "7": "governements",
    "8": "health",
    "9": "luck_today",
    "10": "politics",
    "11": "reports",
    "12": "sport",
    "13": "tech",
    "14": "television",
    "15": "women",
    "16": "world",
    "17": "world_sport"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Investigations": 0,
    "accidents": 1,
    "arab": 2,
    "art": 3,
    "caricature": 4,
    "culture": 5,
    "economy": 6,
    "governements": 7,
    "health": 8,
    "luck_today": 9,
    "politics": 10,
    "reports": 11,
    "sport": 12,
    "tech": 13,
    "television": 14,
    "women": 15,
    "world": 16,
    "world_sport": 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": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.40.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 64000
}