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This may be caused by an update to the Hugging Face Transformers library. Please consider using Simple Transformers as this repo may not be compatible with the current Hugging Face library.
if args['do_train']:
train_dataset = load_and_cache_examples(task, tokenizer)
global_step, tr_loss = train(train_dataset, model, tokenizer)
logger.info(" global_step = %s, average loss = %s", global_step, tr_loss)
I still get this error when running this step despite having torch 1.3.0 and torchvision 0.4.1. Has anyone found a solution for this error?
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