Workaround for RoPE computed in bf16 for GPT-NeoX#746
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libinta
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Mar 12, 2024
gplutop7
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…uggingface#2295) (huggingface#746) align evaluate version question answering 0.4.5 Co-authored-by: Grzegorz Pluto-Prondzinski <gplutopx@habana.ai>
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…uggingface#2295) (huggingface#746) align evaluate version question answering 0.4.5 Co-authored-by: Grzegorz Pluto-Prondzinski <gplutopx@habana.ai>
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What does this PR do?
When using DeepSpeed, the whole model is casted to bf16, including RoPE parameters. This makes the trained model performance much worse so this PR ensures RoPE parameters are computed in fp32.
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