updates
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train.py
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train.py
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@ -366,7 +366,7 @@ def train():
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# end training
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if len(opt.name) and not opt.prebias:
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os.rename('results.txt', 'results_%s.txt' % opt.name)
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os.rename(wdir + 'last.pt', wdir + 'last_%s.pt' % opt.name)
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os.rename(wdir + 'last.pt', wdir + 'last_%s.pt' % opt.name) if os.path.exists(wdir + 'last.pt') else None
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os.rename(wdir + 'best.pt', wdir + 'best_%s.pt' % opt.name) if os.path.exists(wdir + 'best.pt') else None
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plot_results() # save as results.png
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print('%g epochs completed in %.3f hours.\n' % (epoch - start_epoch + 1, (time.time() - t0) / 3600))
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