config.json

{
  "_name_or_path": "AutoTrain",
  "_num_labels": 35,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "\u0621",
    "1": "\u0624",
    "2": "\u0627",
    "3": "\u0628",
    "4": "\u062a",
    "5": "\u062b",
    "6": "\u062c",
    "7": "\u062d",
    "8": "\u062e",
    "9": "\u062f",
    "10": "\u0630",
    "11": "\u0631",
    "12": "\u0632",
    "13": "\u0633",
    "14": "\u0634",
    "15": "\u0635",
    "16": "\u0636",
    "17": "\u0637",
    "18": "\u0637\u0646",
    "19": "\u0638",
    "20": "\u0639",
    "21": "\u063a",
    "22": "\u0641",
    "23": "\u0642",
    "24": "\u0643",
    "25": "\u0644",
    "26": "\u0644\u0627",
    "27": "\u0645",
    "28": "\u0646",
    "29": "\u0647",
    "30": "\u0647\u0640",
    "31": "\u0647\u0646",
    "32": "\u0648",
    "33": "\u0649",
    "34": "\u064a"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "\u0621": 0,
    "\u0624": 1,
    "\u0627": 2,
    "\u0628": 3,
    "\u062a": 4,
    "\u062b": 5,
    "\u062c": 6,
    "\u062d": 7,
    "\u062e": 8,
    "\u062f": 9,
    "\u0630": 10,
    "\u0631": 11,
    "\u0632": 12,
    "\u0633": 13,
    "\u0634": 14,
    "\u0635": 15,
    "\u0636": 16,
    "\u0637": 17,
    "\u0637\u0646": 18,
    "\u0638": 19,
    "\u0639": 20,
    "\u063a": 21,
    "\u0641": 22,
    "\u0642": 23,
    "\u0643": 24,
    "\u0644": 25,
    "\u0644\u0627": 26,
    "\u0645": 27,
    "\u0646": 28,
    "\u0647": 29,
    "\u0647\u0640": 30,
    "\u0647\u0646": 31,
    "\u0648": 32,
    "\u0649": 33,
    "\u064a": 34
  },
  "layer_norm_eps": 1e-12,
  "max_length": 64,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "padding": "max_length",
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.15.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 50000
}