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{
  "_name_or_path": "gokuls/bert_12_layer_model_v2_complete_training_new_72",
  "activation": "relu",
  "architectures": [
    "DistilBertForMaskedLM"
  ],
  "attention_dropout": 0.05,
  "dim": 768,
  "dropout": 0.05,
  "hidden_dim": 3072,
  "initializer_range": 0.02,
  "max_position_embeddings": 512,
  "model_type": "hybridbert",
  "n_heads": 12,
  "n_layers": 12,
  "pad_token_id": 0,
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.1,
  "sinusoidal_pos_embds": true,
  "torch_dtype": "float32",
  "transformers_version": "4.30.1",
  "vocab_size": 30522
}