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Commits on Aug 31, 2019

• Cleaner handling of numpy-based extensions in setup.py

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• Improve support for python setup.py build_ext --inplace

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Commits on Aug 29, 2019

• Fix multi-gpu training (fixes facebookresearch#1088)

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Commits on Aug 27, 2019

• Minor cleanup for setup.py

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Commits on Aug 23, 2019

• Suppress leaked semaphore warnings

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Commits on Aug 22, 2019

• Misc changes

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Commits on Aug 19, 2019

• Back out "[fairseq][PR] Fix bug (the returned value has a dimension mismatch) in label-smoothed-cross-entropy for MoE" (facebookresearch#837)

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• Small fixes

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• Add instructions to resume training from released RoBERTa models (fixes facebookresearch#1034)

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Commits on Aug 15, 2019

• Update README

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• Update README

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Commits on Aug 14, 2019

• Update READMEs

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• v0.7.2 -> v0.8.0 (facebookresearch#1017)

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• Fix tests

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• Updates for PyTorch 1.2 masking/bool behavior

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Commits on Aug 13, 2019

• Add fairseq-validate

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• Add Commonsense QA task

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Commits on Aug 12, 2019

• Minor fixes for RACE finetuning (facebookresearch#818)

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• Lint

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• Remove LAMB optimizer (at least until we can test it more)

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• Update --restore-file logic (partially fixes facebookresearch#999)

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Commits on Aug 10, 2019

• Fix torch.hub for MNLI

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• Add WSC task and criterion

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• Fix Python 3.5 compat

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Commits on Aug 8, 2019

• Integrate with Apache Arrow/Plasma in-memory store for large datasets (facebookresearch#995)

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Commits on Aug 7, 2019

• Fix tests and GLUE finetuning (fixes facebookresearch#989)

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• Add code to realign RoBERTa features to word-level tokenizers

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Commits on Aug 6, 2019

• Add back set_epoch functionality lost in RoBERTa merge

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Commits on Aug 4, 2019

• Add doc string for Roberta.encode function

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Commits on Aug 3, 2019

• Fix generating with a fixed prefix

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Commits on Aug 2, 2019

• Fewer torch.hub requirements (facebookresearch#959)

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• Add single-models for WMT'19 for hub tutorial

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• Update READMEs for torch.hub

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• Update beam search code to support torch.bool change

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Commits on Aug 1, 2019

• Add more details for bulk BPE encoding

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