Hi @<1523701070390366208:profile|CostlyOstrich36> ,

The same code runs fine when I am running it directly from VS Code. But when tried to clone & enqueue the task on an agent this error occurs. My agent is running inside an EC2 instance with GPU. I am using the same python virtual environment when running from VSCode & also while running the agent.
I am not aware of any way to debug my code when I clone & enqueue a task that runs on an agent.

Hi @<1523701118159294464:profile|ExasperatedCrab78> ,

I flagged some examples and created a new dataset. And the cloned the DistilBert Training task and then Enqueued for running in an agent. But it failed with the below error

{'eval_loss': 0.6758520603179932, 'eval_accuracy': 0.5912839158071777, 'eval_runtime': 232.0297, 'eval_samples_per_second': 871.246, 'eval_steps_per_second': 54.454, 'epoch': 1.0}
 50%|█████     | 63/126 [03:58<00:04, 14.88it/s]     Traceback (most recent cal...

@<1523701118159294464:profile|ExasperatedCrab78> The dataset loading issue is not coming up as I have started using the data shared in the github repo- Thanks a lot for the quick response.

But now I am facing a different issue, Now there is a conflict in creating Clearml Task,

Current task already created and requested project name ' HuggingFace Transformers ' does not match current project name 'sarcasm_detector'. If you wish to create additional tasks useTask.create`, or close th...

Yes the one reffered in video. But @<1523701118159294464:profile|ExasperatedCrab78> had mentioned (at 3.45 minute of YouTube video) that he was using it after some preprocessing. The raw data from Kaggle is not not gettting loaded using huggingface load_dataset() function. Please find the screenshot of the error while running train_sklearn.py and train_transformer.py. So, I am assuming it will work if I get the preprocessed data.
![image](https://clearml-web-assets.s3.amazonaws.com/scoold...

Hi @<1523701118159294464:profile|ExasperatedCrab78> ,
It worked after installing latest Huggingface Transformer from github main branch. Thank you so very much for your support.