Release optimizer memory and fix legacy tokenization #3043
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With those changes, I managed to train XLM-Roberta-Large (>2GB model) with adam and full precision (4x the memory requirement) on my 6GB laptop graphic card, using transformer-smaller-training-vocab |
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@helpmefindaname thanks for improving this! |
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This PR does 2 little things:
torch.cuda.empty_cache()will be able to clean up more parameters.