Comments (3)
Hi! thank you!
We relay on sacred logging in a MongoDB, for details please see here (there other sacred loggers possible such as file storage)
For example, to store in mongodb_server:27000:audioset21_balanced (server:port:database_name)
python ex_audioset.py with trainer.precision=16 models.net.arch=passt_deit_bd_p16_384 -p -m mongodb_server:27000:audioset21_balanced -c "PaSST base"
There is also an option to add tensorboard trainer.use_tensorboard_logger
(not tested yet)
Example:
python ex_audioset.py with trainer.precision=16 models.net.arch=passt_deit_bd_p16_384 trainer.use_tensorboard_logger=True -p
We will try to add weights&biases soon.
Let me know if you face any issues
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Hi! Thanks for your help.
I found that MongoDB needs a server which is now difficult for me to set up one (I did not know why).
Instead, I use the following command:
python ex_audioset.py with trainer.precision=16 models.net.arch=passt_deit_bd_p16_384 -p -F My_DIr -c "PaSST base"
And I got these files in My_Dir:
My_dir
1
config.json
cout.txt�
info.json
metrics.json�
run.json
_sources
...
Is it right?
Also, I tried:
python ex_audioset.py with trainer.precision=16 models.net.arch=passt_deit_bd_p16_384 trainer.use_tensorboard_logger=True -p
It seems not work (without saved tensorboard files).
from passt.
Hi, by using this I can get the summary log file:
python ex_audioset.py with trainer.precision=16 models.net.arch=passt_deit_bd_p16_384 trainer.use_tensorboard_logger=True -p
Thanks.
from passt.
Related Issues (20)
- kaggle HOT 2
- Fine tuning on novel dataset HOT 4
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- ImportError: cannot import name 'F1' from 'torchmetrics' (/app/anaconda3/lib/python3.7/site-packages/torchmetrics/__init__.py) HOT 1
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- Could not solve for environment specs HOT 4
- setup.py
- I have a problem. why convert wav to mp3? HOT 3
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