| { | |
| "version": "v0.1.0", | |
| "repo": "diverWayne/cnn-cifar10-classifier", | |
| "github": "https://github.com/diverHansun/cnn-cifar10-classifier", | |
| "dataset": { | |
| "name": "uoft-cs/cifar10", | |
| "config": "plain_text", | |
| "split": "train/test" | |
| }, | |
| "model": { | |
| "architecture": "SimpleCNN", | |
| "parameters": 620362, | |
| "classes": [ | |
| "airplane", | |
| "automobile", | |
| "bird", | |
| "cat", | |
| "deer", | |
| "dog", | |
| "frog", | |
| "horse", | |
| "ship", | |
| "truck" | |
| ] | |
| }, | |
| "training": { | |
| "epochs": 20, | |
| "batch_size": 256, | |
| "optimizer": "SGD", | |
| "learning_rate": 0.01, | |
| "momentum": 0.9, | |
| "weight_decay": 0.0005, | |
| "seed": 42, | |
| "amp": true, | |
| "augment": true | |
| }, | |
| "environment": { | |
| "gpu": "NVIDIA GeForce RTX 5070 Ti", | |
| "torch": "2.11.0+cu128", | |
| "cuda": "12.8" | |
| }, | |
| "metrics": { | |
| "train_loss": 0.6156930644035339, | |
| "train_accuracy": 0.7846, | |
| "test_loss": 0.6217316284179687, | |
| "test_accuracy_from_training": 0.7855, | |
| "test_accuracy_from_evaluate": 0.7857, | |
| "best_checkpoint_epoch": 19 | |
| } | |
| } | |