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I find that in https://dl.fbaipublicfiles.com/dino/dino_deitsmall16_pretrain/dino_deitsmall16_pretrain_log.txt, the average learning rate of each epoch is not the same as the log in my reproduce results.
According to the deit-small args(https://dl.fbaipublicfiles.com/dino/dino_deitsmall16_pretrain/args.txt) and the cos_schedule code( warmup_schedule = np.linspace(start_warmup_value, base_value, warmup_iters)), the averaged learning rate in epoch0 is: np.linspace(0,0.002,12510)[:1251].mean() = 9.992805180270206e-05. But the average lr in https://dl.fbaipublicfiles.com/dino/dino_deitsmall16_pretrain/dino_deitsmall16_pretrain_log.txt is 9.999999999999726e-06.
I wonder what causes such a difference.
Thanks
The text was updated successfully, but these errors were encountered:
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I find that in https://dl.fbaipublicfiles.com/dino/dino_deitsmall16_pretrain/dino_deitsmall16_pretrain_log.txt, the average learning rate of each epoch is not the same as the log in my reproduce results.
According to the deit-small args(https://dl.fbaipublicfiles.com/dino/dino_deitsmall16_pretrain/args.txt) and the cos_schedule code( warmup_schedule = np.linspace(start_warmup_value, base_value, warmup_iters)), the averaged learning rate in epoch0 is: np.linspace(0,0.002,12510)[:1251].mean() = 9.992805180270206e-05. But the average lr in https://dl.fbaipublicfiles.com/dino/dino_deitsmall16_pretrain/dino_deitsmall16_pretrain_log.txt is 9.999999999999726e-06.
I wonder what causes such a difference.
Thanks
The text was updated successfully, but these errors were encountered: