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{
"_name_or_path": "gokuls/bert_12_layer_model_v1_complete_training_new_96",
"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
}