Some Techniques To Make Your PyTorch Models Train (Much) Faster
Read OriginalThis tutorial demonstrates how to significantly improve PyTorch training performance using PyTorch Lightning. It shows how to wrap a model in a LightningModule and use the Trainer class to reduce training time from 22.53 to 2.75 minutes (an 8x speedup) on a single GPU while maintaining accuracy. The guide uses a practical example of fine-tuning a DistilBERT model for sentiment analysis on the IMDB dataset.
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