I have a question regarding mlflow tracking with accelerate library. Writing this code block will error: “INVALID_PARAMETER_VALUE: The experiment was created with a bad artifact location: … It should have a scheme like dbfs:/ or s3:// and that scheme should not be file:/”
accelerator = Accelerator(log_with="mlflow", logging_dir=".") if accelerator.is_main_process: accelerator.init_trackers("accelerate_distributed_run")
Where and how should I set artifact location. When using Trainer class it automatically reads my environment variables for using mlflow on databricks. Here I have no idea which parameters should I put and to what. I apologize, but I didn’t find many answers in the documentation of tracking with Accelerate.