v2.6.0

What's new

Added 🎉

• Added support for NLVR2 visual entailment, including a data loader, two models, and training configs.
• Added StanfordSentimentTreeBankDatasetReader.apply_token_indexers() to add token_indexers rather than in text_to_instance
• Added AdversarialBiasMitigator tests.
• Added adversarial-binary-gender-bias-mitigated-roberta-snli model.
• Added support for Flickr30k image retrieval, including a dataset reader, a model, and a training config.
• Added label_smoothing parameter to CopyNetSeq2Rel to smooth generation targets.
• Added vocab as argument to beam_search.construct in all generation models.

Fixed ✅

• Fixed binary-gender-bias-mitigated-roberta-snli model card to indicate that model requires [email protected].
• Fixed registered model name in the pair-classification-roberta-rte and vgqa-vilbert model cards.

Changed ⚠️

• The multiple choice models now use the new TransformerTextField and the transformer toolkit generally.

Commits

146ea76 Pass vocab to beam search (#288)
698b7ef TransformerTextField in the MC models (#286)
07fa124 Add label smoothing to CopyNet (#287)
e47da99 Flickr30k (#285)
fb35b2d Bump mypy from 0.812 to 0.910 (#284)
90f6259 Update Python environment setup in GitHub Actions (#283)
bdf82a1 added AdversarialBiasMitigator tests and model (#281)
8d2d84f Test fixes (#282)
ef004d3 Update torch requirement from <1.9.0,>=1.7.0 to >=1.7.0,<1.10.0 (#280)
8cb4b08 small CI fix
d721487 add StanfordSentimentTreeBankDatasetReader.apply_token_indexers() (#273)
996adff Update pair-classification-binary-gender-bias-mitigated-roberta-snli.json with correct versions of allennlp-models and allennlp (#272)
b17d114 some model card fixes (#274)
0a7901c Revert "CHANGELOG"
38064e1 CHANGELOG
664f38f Nlvr2 (#265)
e395e63 tick version for nightly releases