DPR Improvements
DPR - improve loading of datasets #733 @voidful
DPR - enable saving and loading of other model types, e.g., RoBERTa models #765 @Timoeller @julian-risch
DPR - fix conversion of BiAdaptiveModel #753 @bogdankostic
torch 1.8.1 and transformers 4.6.1
Bump transformers version to 4.6.1 #787 @Timoeller @julian-risch
Bump torch version to 1.8.1 #767 @Timoeller @julian-risch
Multi-task Learning
Implement Multi-task Learning and added example #778 @johann-petrak
List of Evaluation Metrics
Allow list of metrics and add tests and pythondoc #777 @johann-petrak
Misc
Reduce number of logging messages by Processor about returning problematic ids #772 @johann-petrak
Add farm.__version__ tag #761 @johann-petrak
Add value of doc_stride, max_seq_len, max_query_length in error message #784 @ftesser
Convert QACandidates with empty or whitespace answers to no_answers on doc level #756 @julian-risch
String comparison: Should replace "is" with "==": #774 @johann-petrak
Fix reference before assignment in DataSilo #738 @bogdankostic
Changing QA_input format in tutorial #735 @julian-risch
Fix TextPairClassificationProcessor example by adding metric #780 @julian-risch