MASR / transformers /examples /research_projects /distillation /training_configs /distilbert-base-cased.json
| { | |
| "activation": "gelu", | |
| "attention_dropout": 0.1, | |
| "dim": 768, | |
| "dropout": 0.1, | |
| "hidden_dim": 3072, | |
| "initializer_range": 0.02, | |
| "max_position_embeddings": 512, | |
| "n_heads": 12, | |
| "n_layers": 6, | |
| "sinusoidal_pos_embds": true, | |
| "tie_weights_": true, | |
| "vocab_size": 28996 | |
| } | |