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ML-Intern-lab
/
mnist-cnn-1min
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ML-Intern-lab
68
Image Classification
Safetensors
torch
ml-intern
mnist
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Results
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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