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Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/1485 Test Plan: Imported from OSS Reviewed By: alexeib Differential Revision: D25342182 Pulled By: myleott fbshipit-source-id: 7eb2a4b2b7377da31d4f538053cc196437532db0
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@ -90,7 +90,7 @@ well for the IWSLT 2014 dataset:
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> mkdir -p checkpoints/fconv
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> CUDA_VISIBLE_DEVICES=0 fairseq-train data-bin/iwslt14.tokenized.de-en \
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--lr 0.25 --clip-norm 0.1 --dropout 0.2 --max-tokens 4000 \
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--optimizer nag --lr 0.25 --clip-norm 0.1 --dropout 0.2 --max-tokens 4000 \
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--arch fconv_iwslt_de_en --save-dir checkpoints/fconv
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By default, :ref:`fairseq-train` will use all available GPUs on your machine. Use the
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