v1.0.0rc6
Pre-releaseChanged
- Removed deprecated
"simple_seq2seq"
predictor
Fixed
- Replaced
deepcopy
ofInstance
s with newInstance.duplicate()
method. - A bug where pretrained sentence taggers would fail to be initialized because some of the models
were not imported. - A bug in some RC models that would cause mixed precision training to crash when using NVIDIA apex.
- Predictor names were inconsistently switching between dashes and underscores. Now they all use underscores.
Added
- Added option to SemanticDependenciesDatasetReader to not skip instances that have no arcs, for validation data
- Added a default predictors to several models
- Added sentiment analysis models to pretrained.py
- Added NLI models to pretrained.py
Commits
1b2682b prepare for release v1.0.0rc6
c0821a0 Adds SST and NLI models to the list of pretrained models (#73)
4b010c0 Remove some files I merged by accident (#74)
2b9ca77 Sets a default predictor for several models (#71)
961da3e Fix casing in NLI model (#72)
efe66bc update squad reader
93273f0 Fix capitalization typo in SNLI RoBERTa config (#70)
646d254 fixes on some structured prediction dataset readers (#65)
5086811 Bump mypy from 0.770 to 0.780 (#69)
d20cc8f Fixes for mixed precision training (#68)
28a650c Fix training config (#66)
053f0c0 fix SentenceTaggerPredictor import (#67)
204be1a Update transformer_qa.jsonnet (#59)
0ed63fa transformer qa quick fix
ae1c0ec Bump conllu from 2.3.2 to 3.0 (#63)
4f17497 Use new Instance.duplicate() method instead of deepcopy (#64)
6fac5b7 Bump version number