| { | |
| "architectures": [ | |
| "CustomBERTModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 512, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert-refine", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 8, | |
| "post_batch_size": 32, | |
| "refine_layer_size": 8, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.38.0.dev0", | |
| "type_vocab_size": 2, | |
| "vocab_size": 30522 | |
| } | |