I am running notebooks 1 and 3 unchanged from huggingface-sagemaker-workshop-series/workshop_1_getting_started_with_amazon_sagemaker at main · philschmid/huggingface-sagemaker-workshop-series · GitHub 2
And I get the following error:

RuntimeError: CUDA out of memory. Tried to allocate 192.00 MiB (GPU 0; 15.78 GiB total capacity; 14.80 GiB already allocated; 44.75 MiB free; 14.83 GiB reserved in total by PyTorch)

I am trying with different batch sizes and learning rates, but can someone help me understand why not everyone got the same error if we’re all using the same AWS resources?