---
title: "Distributed Training: Train BART/T5 for Summarization using 🤗 Transformers and Amazon SageMaker"
url: https://daily.dev/posts/distributed-training-train-bart-t5-for-summarization-using-transformers-and-amazon-sagemaker-ut6qmcmni
source_url: https://www.philschmid.de/sagemaker-distributed-training
type: article
source: "Philipp Schmid"
published: 2026-05-31T07:40:50.422Z
updated: 2026-05-31T08:03:26.750Z
tags: ["python", "aws", "nlp"]
reading_time: 6
upvotes: 0
comments: 0
language: en
---

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# Distributed Training: Train BART/T5 for Summarization using 🤗 Transformers and Amazon SageMaker

**[Philipp Schmid](https://daily.dev/sources/philschmid)** · 6 min read · 0 upvotes · 0 comments

## Summary

A hands-on tutorial for fine-tuning BART-large-cnn on the SAMSum summarization dataset using Hugging Face Transformers and Amazon SageMaker's distributed training capabilities. Covers setting up a SageMaker Notebook Instance, configuring SageMaker Data Parallelism via the HuggingFace Estimator, running training across 16 NVIDIA V100 GPUs (2x ml.p3dn.24xlarge instances) for roughly $28, and then uploading the resulting model to the Hugging Face Hub with a model card for inference testing.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.philschmid.de/sagemaker-distributed-training>

---

Tags: [#python](https://daily.dev/tags/python), [#aws](https://daily.dev/tags/aws), [#nlp](https://daily.dev/tags/nlp)

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