| { | |
| "architectures": [ | |
| "MNISTCNNModel" | |
| ], | |
| "conv_channels": [ | |
| 32, | |
| 64 | |
| ], | |
| "conv_dropout": 0.25, | |
| "conv_kernel_size": 3, | |
| "conv_padding": 1, | |
| "dtype": "float32", | |
| "fc_dropout": 0.5, | |
| "flattened_size": 3136, | |
| "hidden_size": 512, | |
| "image_size": 28, | |
| "input_channels": 1, | |
| "model_type": "vit", | |
| "normalize_mean": 0.1307, | |
| "normalize_std": 0.3081, | |
| "num_classes": 10, | |
| "pool_kernel_size": 2, | |
| "pool_stride": 2, | |
| "transformers_version": "5.0.0", | |
| "auto_map": { | |
| "AutoConfig": "configuration_mnist_cnn.MNISTCNNConfig", | |
| "AutoModelForImageClassification": "modeling_mnist_cnn.MNISTCNNModel" | |
| } | |
| } |