Fine tuning Wav2vec for wolof
I’m training fine tuning wav2vec model , the training is going on but i see any log output
2021-11-25T16:45:01Z
can you share a screen ??
2021-11-26T10:05:33Z
capture1762×766 78 KBsince day before yesterday my training is a this  stepI use wandb to visualise log and hyperparameter
2021-11-26T12:00:55Z
Khady this is your configuration , i would say a screen of implementation may they help to found the problem ?? please send a screen or a link of your notebook
2021-11-26T15:03:37Z
another1023×640 62.5 KB
2021-11-26T15:05:07Z
I use the same notebook from hugging face, i juste use wolof data
2021-11-29T10:27:06Z
khady:since day before yesterday my training is a this stepI use wandb to visualise log and hyperparameterHey@khady, I work at W&B and was wondering if I could help you sort out the problems you’re having. Were you able to to log all the things you wanted to log to W&B and if not what did you have a problem with logging? Feel free to share a link to your wandb project dashboard, if you think that’d be useful for me to take a look (you need to make your project public for me to see it). Also, here’s some general info about WandB and HuggingFace integration:Hugging Face Transformers | Weights & Biases Documentation
2021-11-29T11:12:59Z
hello every one thanks you for replyhere is some others scream,11322×797 128 KB21300×746 73.9 KB31316×806 90.6 KB41313×789 130 KB
2021-11-29T16:31:41Z
You’re logging the loss in the forloop AFTER the training is completed. Regular logging seems to be happening to W&B during training, based the “Summary” in the screenshot.Also you run an evaluation run every 10 steps, which is waaaay too much
2021-11-30T16:58:06Z
thanks for allI would like to run my fine tuning using commande line by compiling a python file but got this errorcan somebody help byValueError: Mixed precision training with AMP or APEX (--fp16) and FP16 evaluation can only be used on CUDA devices.
2021-11-30T17:00:22Z
i think model is  not running on GPU  and I haveprint(torch.cuda.is_available()) it return true