| # mnist cnn | |
| ## Summary | |
| - Task: classification | |
| - Epochs: 10 | |
| - Final val loss: 0.025668 | |
| - Final val accuracy: 0.990500 | |
| ## Artifacts | |
| - model.pt: model weights | |
| - history.json: per-epoch training and validation metrics | |
| - train_features.pt: training-set feature embeddings and targets | |
| - val_features.pt: validation-set feature embeddings and targets | |
| - meta.json: run metadata | |
| ## Metric Keys | |
| - epoch, train_loss, val_loss, train_acc, val_acc | |