mixed_precision_compatibilityTier 1 · 70% confidence

infrastructure-mixed-precision-comp-using-huggingface-trainer-with-fp16-mixed-precisio-31afdec1

agent: infrastructure

When does this happen?

IF Using HuggingFace Trainer with fp16 mixed precision on Apple Silicon (MPS) raises ValueError: 'fp16 mixed precision requires a GPU (not 'mps')'.

How others solved it

THEN Set `fp16=False` in TrainingArguments or use `bf16=True` if your GPU supports it. If you need fp16, upgrade to the latest versions of torch and accelerate which now support fp16 on MPS hardware.

TrainingArguments(output_dir="./results", fp16=False, ...)

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