v2.2.0

What's new

Added 🎉

• Evaluating RC task card and associated LERC model card (@anthonywchen).
• Compatibility with PyTorch 1.8.
• Dataset reader for SuperGLUE BoolQ.

Changed ⚠️

• Add option combine_input_fields in SnliDatasetReader to support only having "non-entailment" and "entailment" as output labels (@leo-liuzy).
• Made all the models run on AllenNLP 2.1.
• Add option ignore_loss_on_o_tags in CrfTagger to set the flag outside its forward function (@tarohi24).

Fixed ✅

• Fixed allenai/allennlp#4745 (@leo-liuzy).
• Updated QaNet and NumericallyAugmentedQaNet models to remove bias for layers that are followed by normalization layers.
• Updated the model cards for rc-naqanet, vqa-vilbert and ve-vilbert.
• Predictors now work for the vilbert-multitask model.

Commits

f5c157b Prepare for release v2.2.0
9a237c3 fixes for callback refactor (#233)
8aabfe5 add BoolQ dataset reader (#228)
ab2a0d1 Added model card for LERC and task card for evaluating-RC (#226)
986265d Add ignore_loss_on_o_tags to CrfTagger.__init__() (#230)
20bc25a Demo Sweep 2 (#227)
2f798c0 Fix sanity checks for models (#224)
3624fdc Update torch requirement from <1.8.0,>=1.7.0 to >=1.7.0,<1.9.0 (#225)
ec115c6 Fix NextTokenLM bug (#213)
ff68203 Add option to collapse non-entailment labels in SNLI dataset reader (#214)
743e0ee Fix QaNet and NaQaNet (#223)
769cda0 small doc fix in CopyNet
ef51b67 Fixes Multitask predictions for the vision models (#218)