{
     "model_architecture": {
          "input_size": [
               3,
               32,
               32
          ],
          "num_layers": 20,
          "num_classes": 10,
          "num_trainable_parameters": 272474,
          "architecture": "ResNet"
     },
     "training_parameters": {
          "learning_rate": 0.0625,
          "batch_size": 128,
          "num_epochs": 15,
          "optimizer": "SGD",
          "loss_function": "CrossEntropyLoss"
     },
     "dataset": {
          "name": "CIFAR-10",
          "normalization": {
               "mean": [
                    0.4914,
                    0.4822,
                    0.4465
               ],
               "std": [
                    0.247,
                    0.243,
                    0.261
               ]
          },
          "data_augmentation": [
               "RandomCrop(32, padding=4)",
               "RandomHorizontalFlip()"
          ],
          "num_examples": {
               "train": 50000,
               "valid": 9000,
               "test": 1000
          }
     },
     "performance": {
          "accuracy": {
               "train": 0.8683,
               "valid": 0.8393,
               "test": 0.848
          }
     },
     "metadata": {
          "author": "Sergey Polivin",
          "date_trained": "2025-01-15",
          "version": "v1.0",
          "purpose": "Image classification on CIFAR-10"
     }
}