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facebookresearch / fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
MIT License
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M2M 100 training/fine tuning #3047

Open bmtm opened 3 years ago

bmtm commented 3 years ago

hi there

the M2M 100 readme mentions that the 1.2B parameter model was trained with fairseq's multilingual translation task, without further elaboration. I'm wondering if there could be a example training command with all the parameters for training/fine tuning?

I've tried fine-tuning the model via fairseq-train --arch multilingual_transformer --task multilingual_translation

but it seems that that the training script expects an ensemble of models instead of one, and errors out on an assertion in multilingual_transformer.py

jaspock commented 3 years ago

See this thread.

stale[bot] commented 3 years ago

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