{ "architectures": [ "MGBertForMaskedLM" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": 0.1, "hidden_dropout_prob": 0.1, "hidden_size": 256, "intermediate_size": 512, "layer_norm_eps": 1e-06, "max_position_embeddings": 512, "model_type": "mgbert", "num_attention_heads": 8, "num_hidden_layers": 6, "pad_token_id": 0, "regressor_dropout": 0.1, "tie_word_embeddings": false, "torch_dtype": "float32", "transformers_version": "4.53.0", "use_global_token": true, "vocab_size": 17 }