nfrhtp

What is "overtraining"? What unwanted thing results from it? Thanks.

In Terminal on the page, when I enter !nvdia-smi I get: -bash: !nvdia: event not found

Tue Oct 25 08:08:39 2022+-----------------------------------------------------------------------------+| NVIDIA-SMI 460.32.03 Driver Version: 460.32.03 CUDA Version: 11.2 ||-------------------------------+----------------------+----------------------+| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC || Fan Temp Perf Pwr:Usage/Cap| Memory-Usage |...

Today, after loading a fresh instance, with fp16 unchecked, I tried both the new fast method (renaming files) and the older. Both times I get the RuntimeError: CUDA error soon...

OK, I will look forward to that! In the meantime, is there a "safest" setting for the colab GPU and RAM, that is most likely to succeed even if slower?...

So if I do NOT choose "Premium" GPU the process is more likely to succeed?

Upon seeing your last comment I interrupted a training using standard settings for GPU & RAM. It was set to take about 50 minutes for training (1500 steps, 98 images)....

What would be the quickest procedure to follow to be able to come back in a couple days and make use of the same trained model, without going through the...

Thanks again, it is working great. One more question... I made a trained model using 2000 steps, saving every 500. Why is the final ckpt 4GB while the others (including...