AI BriefingDistributed Training with Transformers and SageMaker
Key point
Through the collaboration between Hugging Face and Amazon SageMaker, distributed training of Transformers models is optimized.
Details
Through the partnership between Hugging Face and Amazon SageMaker, optimized Deep Learning Containers (DLCs) are provided to accelerate training of Transformers-based models.
Using the HuggingFace estimator in the SageMaker Python SDK, you can start distributed training with just a single line of code. In particular, by leveraging the SageMaker Data Parallelism strategy, Summarization tasks for Seq2Seq models such as BART or T5 can be performed efficiently.
Users can easily implement data parallelism simply by setting the distribution parameter within the Trainer API.
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