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mnist_mlp/README.md

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+# mnist mlp
+
+## Summary
+- Task: classification
+- Epochs: 10
+- Final val loss: 0.078887
+- Final val accuracy: 0.981200
+
+## 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

mnist_mlp/history.json

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+{
+  "epoch": [
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10
+  ],
+  "train_loss": [
+    0.22913320637543996,
+    0.08571905783017476,
+    0.05998642805715402,
+    0.041248609277109306,
+    0.033385245773320395,
+    0.0271177135831366,
+    0.023171186356370648,
+    0.023494318472842377,
+    0.01790868187599505,
+    0.01680551521059436
+  ],
+  "val_loss": [
+    0.10461914210021496,
+    0.08678505564853549,
+    0.07292555762007832,
+    0.06733576019098982,
+    0.083990372170927,
+    0.07575358844574075,
+    0.08832426459754351,
+    0.07990815137868049,
+    0.07880833789101016,
+    0.07888703185170161
+  ],
+  "train_acc": [
+    0.93,
+    0.9734,
+    0.9809833333333333,
+    0.9867166666666667,
+    0.9887166666666667,
+    0.99075,
+    0.9925,
+    0.9919833333333333,
+    0.9941166666666666,
+    0.9946
+  ],
+  "val_acc": [
+    0.9677,
+    0.9737,
+    0.9771,
+    0.9797,
+    0.9752,
+    0.9783,
+    0.9777,
+    0.9782,
+    0.9814,
+    0.9812
+  ]
+}

mnist_mlp/meta.json

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+{
+  "dataset": "mnist",
+  "model": "mlp",
+  "task": "classification",
+  "epochs": 10,
+  "final_val_loss": 0.07888703185170161,
+  "final_val_acc": 0.9812
+}

mnist_mlp/model.pt

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+size 2146045

mnist_mlp/train_features.pt

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+size 31201949

mnist_mlp/val_features.pt

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