{
  "add_cross_attention": false,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": null,
  "classifier_dropout": null,
  "dtype": "float32",
  "embedding_size": 768,
  "eos_token_id": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "as",
    "1": "bn",
    "2": "en",
    "3": "gu",
    "4": "hi",
    "5": "kn",
    "6": "ks",
    "7": "ml",
    "8": "mr",
    "9": "ne",
    "10": "or",
    "11": "pa",
    "12": "sa",
    "13": "sd",
    "14": "ta",
    "15": "te",
    "16": "ur",
    "17": "undetermined"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "is_decoder": false,
  "label2id": {
    "as": 0,
    "bn": 1,
    "en": 2,
    "gu": 3,
    "hi": 4,
    "kn": 5,
    "ks": 6,
    "ml": 7,
    "mr": 8,
    "ne": 9,
    "or": 10,
    "pa": 11,
    "sa": 12,
    "sd": 13,
    "ta": 14,
    "te": 15,
    "undetermined": 17,
    "ur": 16
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "tie_word_embeddings": true,
  "transformers_version": "5.5.4",
  "type_vocab_size": 2,
  "use_cache": false,
  "vocab_size": 197285
}