{ "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" } }