VADER
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Question about the training cost.
Hi, thanks for your excellent work!
I would like to know more about the training cost of these three models. At the same time, I ran the ModelScope script on 4 A40-48G GPUs, and it shows that 460 hours are required for 10,000 iterations. Is this in line with expectations?
I am looking forward to your reply.
Hi,
The network should train probably in about 6-12 hours. The number of iterations is not properly set currently, sorry about that.
Thanks for the response! Please notify me when the corrected version is released, thank you.
Hello. Thanks for pointing out the issue! We have updated the default max_train_steps value for reference. Considering you are using 4 GPUs, --gradient_accumulation_steps could be set to 4 or 2 to speed the training process up. Also, please feel free to select the optimal checkpoint based on the avg_loss curve or the visualization from wandb.
same question, i need 60 hours to train Open-Sora on 2x A6000 GPUs. Could the author please specify which model was trained for 15 hours in the paper and what the corresponding configuration was?