config.json

{
  "_name_or_path": "../arabertv02_tashkeel_fadel",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "finetuning_task": "ner",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "X",
    "1": "\u062a\u0637\u0648\u064a\u0644",
    "2": "\u0633\u0643\u0648\u0646",
    "3": "\u0634\u062f\u0629",
    "4": "\u0634\u062f\u0629 \u0636\u0645\u0629",
    "5": "\u0634\u062f\u0629 \u0636\u0645\u062a\u0627\u0646",
    "6": "\u0634\u062f\u0629 \u0641\u062a\u062d\u0629",
    "7": "\u0634\u062f\u0629 \u0641\u062a\u062d\u062a\u0627\u0646",
    "8": "\u0634\u062f\u0629 \u0643\u0633\u0631\u0629",
    "9": "\u0634\u062f\u0629 \u0643\u0633\u0631\u062a\u0627\u0646",
    "10": "\u0636\u0645\u0629",
    "11": "\u0636\u0645\u062a\u0627\u0646",
    "12": "\u0641\u062a\u062d\u0629",
    "13": "\u0641\u062a\u062d\u062a\u0627\u0646",
    "14": "\u0643\u0633\u0631\u0629",
    "15": "\u0643\u0633\u0631\u062a\u0627\u0646"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "X": 0,
    "\u062a\u0637\u0648\u064a\u0644": 1,
    "\u0633\u0643\u0648\u0646": 2,
    "\u0634\u062f\u0629": 3,
    "\u0634\u062f\u0629 \u0636\u0645\u0629": 4,
    "\u0634\u062f\u0629 \u0636\u0645\u062a\u0627\u0646": 5,
    "\u0634\u062f\u0629 \u0641\u062a\u062d\u0629": 6,
    "\u0634\u062f\u0629 \u0641\u062a\u062d\u062a\u0627\u0646": 7,
    "\u0634\u062f\u0629 \u0643\u0633\u0631\u0629": 8,
    "\u0634\u062f\u0629 \u0643\u0633\u0631\u062a\u0627\u0646": 9,
    "\u0636\u0645\u0629": 10,
    "\u0636\u0645\u062a\u0627\u0646": 11,
    "\u0641\u062a\u062d\u0629": 12,
    "\u0641\u062a\u062d\u062a\u0627\u0646": 13,
    "\u0643\u0633\u0631\u0629": 14,
    "\u0643\u0633\u0631\u062a\u0627\u0646": 15
  },
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.31.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 64000
}