Preliminary state

2026-05-26 10:24:33 +02:00
commit 0ab11cfc5e
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+{
+    "command": "train",
+    "dataset": "mnist",
+    "in_size": 784,
+    "num_classes": 10,
+    "timeout": 10800,
+    "source_dataset": "mnist",
+    "points": 110,
+    "bonus_points": 27.5,
+    "scoring": {
+        "function": "exponential",
+        "k": 5,
+        "baseline": 0.92,
+        "bonus_threshold": 0.985,
+        "ceiling": 0.9987
+    },
+    "description": "Scoring: exponential curve (k=5) over best test accuracy. Accuracy at or below the baseline (linear-classifier accuracy) earns 0 points; accuracy at or above the bonus_threshold (reference network accuracy) earns full regular points. Beyond the threshold, bonus points scale on the same exponential curve up to the ceiling (state-of-the-art accuracy)."
+}