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cifar10_resnet9/README.md

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+# cifar10 resnet9
+
+## Summary
+- Task: classification
+- Epochs: 30
+- Final val loss: 0.399520
+- Final val accuracy: 0.897900
+
+## 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

cifar10_resnet9/history.json

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+}

cifar10_resnet9/meta.json

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+{
+  "dataset": "cifar10",
+  "model": "resnet9",
+  "task": "classification",
+  "epochs": 30,
+  "final_val_loss": 0.39952037525177003,
+  "final_val_acc": 0.8979
+}

cifar10_resnet9/model.pt

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cifar10_resnet9/train_features.pt

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cifar10_resnet9/val_features.pt

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