The default num_workers set in dataset.py is 8, and that’s what the 3rd and 4th fit() were using (the lengthier ones). I anyway ran all with num_workers set to 4:
| learn.fit() | Before | After | After num_worker=4 |
|---|---|---|---|
| learn.fit(0.01, 1) | 2.83 s | 1.97 s | 1.94 s |
| learn.fit(1e-2, 1) | 2.68 s | 2.02 s | 2.04 s |
| learn.fit(1e-2, 3, cycle_len=1) | 1min 58s | 2min 12s | 2min 26s |
| learn.fit(lr, 3, cycle_len=1, cycle_mult=2) | 11min 42s | 12min 2s | 12min 3s |
| learn.fit(1e-2, 1) | 2.59 s | 1.95 s | 2.02 s |
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