Tracking summarization example results
@muellerzrI am usingthis scriptto train some models.github.comhuggingface/transformers/blob/94b3f544a1f5e04b78d87a2ae32a7ac252e22e31/examples/pytorch/summarization/run_summarization_no_trainer.py#L586checkpointing_steps = args.checkpointing_stepsif checkpointing_steps is not None and checkpointing_steps.isdigit():checkpointing_steps = int(checkpointing_steps)# We need to initialize the trackers we use, and also store our configuration.# The trackers initializes automatically on the main process.if args.with_tracking:experiment_config = vars(args)# TensorBoard cannot log Enums, need the raw valueexperiment_config["lr_scheduler_type"] = experiment_config["lr_scheduler_type"].valueaccelerator.init_trackers("summarization_no_trainer", experiment_config)# Metricmetric = evaluate.load("rouge")# Train!total_batch_size = args.per_device_train_batch_size * accelerator.num_processes * args.gradient_accumulation_stepslogger.info("***** Running training *****")logger.info(f"  Num examples = {len(train_dataset)}")logger.info(f"  Num Epochs = {args.num_train_epochs}")I sawthis answefor using wandb by accelerator.The question is as follow for the script hyperparameters I used the following paramters for tracking–with_tracking --report_to=‘wandb’ --checkpointing_steps=‘epoch’still I can not see the results anywhere or track them. I think I missed something. Also If I want to use all how can I track the results?prcisely I am getting warning ``log_with=wandbwas passed but no supported trackers are currently installed. accelerate
2022-12-13T13:37:15Z
for anyone stuck with this issue you need to install wandb usingpip install wandb