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mnist_cnn/README.md

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+# 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

mnist_cnn/history.json

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+{
+  "epoch": [
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10
+  ],
+  "train_loss": [
+    0.27155180079142255,
+    0.07805133153001467,
+    0.053526351799567544,
+    0.04224113336155812,
+    0.0353754817550381,
+    0.029042773660769065,
+    0.026445073273032905,
+    0.02227028990785281,
+    0.019106112775330742,
+    0.0174551628947258
+  ],
+  "val_loss": [
+    0.08769645810127258,
+    0.06291426669359207,
+    0.044275214569829406,
+    0.037819712390610945,
+    0.03138333628252148,
+    0.031376042736973614,
+    0.027713437589257955,
+    0.036022475183196366,
+    0.04514393778592348,
+    0.025668119363416918
+  ],
+  "train_acc": [
+    0.9132166666666667,
+    0.97515,
+    0.9829333333333333,
+    0.98665,
+    0.9888333333333333,
+    0.9909,
+    0.991,
+    0.99275,
+    0.99365,
+    0.99405
+  ],
+  "val_acc": [
+    0.9744,
+    0.9794,
+    0.9864,
+    0.9877,
+    0.9894,
+    0.9892,
+    0.991,
+    0.9883,
+    0.9861,
+    0.9905
+  ]
+}

mnist_cnn/meta.json

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+{
+  "dataset": "mnist",
+  "model": "cnn",
+  "task": "classification",
+  "epochs": 10,
+  "final_val_loss": 0.025668119363416918,
+  "final_val_acc": 0.9905
+}

mnist_cnn/model.pt

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+size 2198321

mnist_cnn/train_features.pt

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mnist_cnn/val_features.pt

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