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| learner = create_cnn(data, models.resnet34, metrics=error_rate) | |
| learner.fit_one_cycle(5) |
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| learner.save('stage-1') | |
| learner.unfreeze() | |
| learner.lr_find() | |
| learner.recorder.plot() |
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