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HF · Model migrationCurated

Porting a fairseq translation model

Summary

Hugging Face documents the transfer of a WMT19 translation model from fairseq to Transformers. The focus is on reproducible weight mapping, tokenisation and identical outputs. The ported system comes from fairseq and was trained for WMT19.

Ideas

  • A model port is only successful when preprocessing, weights and decoding match.
  • Numerical comparison tests protect against silent errors in seemingly compatible layers.

Insights

  • Porting is a translation task whose correctness can only be proven through reference behaviour.

Facts

  • Porting requires an explicit mapping of the parameters between the two implementations.

Critique

  • Identical test outputs do not automatically cover errors outside the inputs that were checked.

Recommendations

  • Define reference inputs and expected logits before you port a model architecture.

References

Read the original article on Hugging Face

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