例如huggingface、megatron等框架在支持fp16、bf16等看似半精度的训练时,其实内部实现也是混合精度训练。 为什么都用混合精度训练? 具有半精度训练的优点,显存少、速度快 也具有单精度训练的优点,模型效果好 标题: MIXED PRECISION TRAINING 会议:Published as a conference paper at ICLR 2018 机构:baidu、nvidia 论文...
if training_args.bf16: training_args.bf16 = False os.environ["XLA_USE_BF16"] = "1" if training_args.half_precision_backend == "amp": self.use_amp = True self.validate_args(training_args) if is_precompilation(): @@ -172,7 +162,6 @@ def __init__(self, *args, **kwargs):...
Hi! Is it possible to run the PPOTrainer with fp16 for bf16 precision for full model training (i.e. no LoRA)? Currently, loading the model with model = AutoModelForCausalLMWithValueHead.from_pretrained( config.model_name, device_map={"":...
Apart from the above usecases, there are many places that serve as Model Hub. For example,HuggingFaceis a popular place where one can pick easy to experiment scripts to try a model. To enable mixed precision with we can use the keras method described above if it is keras based model. Hu...
Using --mixed_precision="fp16" brings ValueError: Query/Key/Value should all have the same dtype #5368 bluusun opened this issue Oct 11, 2023· 16 comments Comments bluusun commented Oct 11, 2023 Describe the bug ValueError: Query/Key/Value should all have the same dtype query.dtype: ...
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support huggingface.co/docs/accelerate Resources Readme License Apache-2.0 license Code of conduct...
You can download the pre-trained SliM-LLM mixed-precision you need at Huggingface. We currently provide mixed-precision results for some models, and the remaining results are still being uploaded (SliM-LLM and SliM-LLM+ use the same set of group-wise mixed-precision). Usage Full running scrip...
When using DeepSpeed, set `gradient_accumulation_steps: "auto"` and `gradient_clipping: "auto"` to automatically pick up values set in the [`Accelerator`] or [`TrainingArguments`] (if using `transformers`). </Tip> ##On Differences in Data Precision Handling ...
Fix vae dtype when accelerate config using --mixed_precision="fp16". Who can review? Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR. ...
We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Reseting focus {...