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A small CNN trained on MNIST for a fixed wall-clock budget of 60 seconds on cuda.

Results

  • test_accuracy: 0.9922 (9922/10000 samples)
  • train steps: 3622 (batch size 256, AdamW lr 0.003)
  • train wall-clock: 60.1s
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Model size
422k params
Tensor type
F32
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