v1.3.0
Highlighted changes:
New Tasks
- QA-SRL (#716) (@zphang)
- QAMR (#932) (@zphang)
- Abductive NLI (aNLI) (#922) (@zphang)
- SocialIQA (#924) (@pruksmhc)
- SentEval Probing (#926) (@pruksmhc)
- SciTail (#943) (@phu-pmh)
- CommonsenseQA (#942) (@HaokunLiu)
- HellaSwag (#942) (@HaokunLiu)
- Acceptability probing (#949) (@HaokunLiu)
- Adversarial NLI (#966) (@pyeres)
- Two-class MNLI variant (#976) (@sleepinyourhat)
- WinoGrande (#996) (@HaokunLiu)
New Models
- ALBERT (#990) (@HaokunLiu)
New Features
- Faster retokenization (#935) (@pruksmhc)
- Gradient accumulation option (#980) (@pyeres)
- Full/stable data-parallel multi-GPU support (#992) (@pruksmhc)
Minor changes and fixes
- Fixed bug in restoring checkpoints in multi-GPU mode (#928) (@pruksmhc)
- Fixed bugs in RoBERTa retokenization (#982) (@HaokunLiu) and ids (#959) (@njjiang)
- Fixed load_target_train_checkpoint with mixing setting (#960) (@pruksmhc)
- Fixed bug in CCG loss function that artificially reduced accuracy (#948) (@HaokunLiu)
- Fixed label parsing for QQP (#956) (@zphang)
- Updated CoLA inference script (#931) (@zphang)