You can investigate most problems using the server console log. The machine learning backend runs as a separate server from Label Studio, so make sure you check the correct server console logs while troubleshooting.
To see more detailed logs, start the ML backend server with the --debug
option.
If you’re running an ML backend:
- Production training logs are located in
my_backend/logs/rq.log
- Production runtime logs are located in
my_backend/logs/uwsgi.log
In development mode, training logs appear in the web browser console.
If you’re running an ML backend using Docker Compose:
- Training logs are located in
logs/rq.log
- Main process and inference logs are located in
logs/uwsgi.log