Accelerate v1.9.0

Trackio tracker support

We've added support for a trackio, lightweight, 💯 free experiment tracking Python library built on top of 🤗 Datasets and Spaces.

Screen Recording 2025-06-11 at 5 39 32 PM

Main features are:

• Local-first design: dashboard runs locally by default. You can also host it on Spaces by specifying a space_id.
• Persists logs locally (or in a private Hugging Face Dataset)
• Visualize experiments with a Gradio dashboard locally (or on Hugging Face Spaces)
• Everything here, including hosting on Hugging Faces, is free!

To use it with accelerate, you need to set log_with and initialize the trackers

accelerator = Accelerator(log_with="trackio")
config={"learning_rate": 0.001, "batch_size": 32}
# init_kwargs in order to host the dashboard on spaces
init_kwargs = {"trackio": {"space_id": "hf_username/space_name"}
accelerator.init_trackers("example_project", config=config, init_kwargs=init_kwargs})

Thanks @pcuenca for the integration !

• trackio by @pcuenca in https://github.com/huggingface/accelerate/pull/3669

Model loading speedup when relying set_module_tensor_to_device

Setting tensor while clearing cache is very slow, so we added clear_device option to disable it. Another small optimization is using non_blocking everywhere and syncing just before returning control to the user. This makes the loading slightly faster.

• Speedup model loading by 4-5x in Diffusers ⚡ by @a-r-r-o-w in https://github.com/huggingface/accelerate/pull/3674

FDSP, Deepspeed, FP8 minor improvements

• Add support for e5e2 and default to hybrid when launcher is used by @IlyasMoutawwakil in https://github.com/huggingface/accelerate/pull/3640
• Fix FP8 tests, enable FP8 to be used without direct Accelerator() configuring by @pstjohn in https://github.com/huggingface/accelerate/pull/3677
• Bunch of FSDP improvements by @S1ro1 in https://github.com/huggingface/accelerate/pull/3671
• Fix: properly error when DDP + Dtensor model by @S1ro1 in https://github.com/huggingface/accelerate/pull/3629
• Fix fsdp2 example typo by @shimizust in https://github.com/huggingface/accelerate/pull/3657
• Added a check in no_sync() to avoid errors when using deepspeed zero2/3 by @xliu0105 in https://github.com/huggingface/accelerate/pull/3656

🚨🚨🚨 Breaking changes 🚨🚨🚨

find_executable_batch_size() will no longer halves the batch after every OOM. Instead, we will multiply the batch size by 0.9. This should help user not waste gpu capacity.

• “Stop Halving My Batch!” · Default back-off 0.5 → 0.9 by @SunMarc in https://github.com/huggingface/accelerate/pull/3684

What's Changed

• [typo] shards instead of shard by @SunMarc in https://github.com/huggingface/accelerate/pull/3645
• Docs: Fix typos in gradient accumulation guide by @kilavvy in https://github.com/huggingface/accelerate/pull/3649
• xpu enablement on left cases by @yao-matrix in https://github.com/huggingface/accelerate/pull/3654
• unpin datasets in examples requirements by @SunMarc in https://github.com/huggingface/accelerate/pull/3681
• fix: wandb config not saved in offline mode by @ved1beta in https://github.com/huggingface/accelerate/pull/3648
• accelerate/data_loader.py: do not yield if the base_dataloader is empty by @0xnightwind in https://github.com/huggingface/accelerate/pull/3659
• warn for invalid keys by @ved1beta in https://github.com/huggingface/accelerate/pull/3613
• Update Gaudi runner image to latest SynapseAI and enable previously disabled tests by @IlyasMoutawwakil in https://github.com/huggingface/accelerate/pull/3653

New Contributors

• @kilavvy made their first contribution in https://github.com/huggingface/accelerate/pull/3649
• @shimizust made their first contribution in https://github.com/huggingface/accelerate/pull/3657
• @xliu0105 made their first contribution in https://github.com/huggingface/accelerate/pull/3656
• @0xnightwind made their first contribution in https://github.com/huggingface/accelerate/pull/3659

Full Changelog: https://github.com/huggingface/accelerate/compare/v1.8.1...v1.9.0