transformers
2ca73e5e - Fixed passing scheduler-specific kwargs via TrainingArguments lr_scheduler_kwargs (#27595)

Commit

2 years ago

Fixed passing scheduler-specific kwargs via TrainingArguments lr_scheduler_kwargs (#27595) * Fix passing scheduler-specific kwargs through TrainingArguments `lr_scheduler_kwargs` * Added test for lr_scheduler_kwargs

References

#27595 - Fixed passing scheduler-specific kwargs via TrainingArguments lr_scheduler_kwargs

#29969 - [SigLIP] Add fast tokenizer

#32831 - [Docs] Update resources

#33111 - [Backbone] Remove out_features everywhere

#33174 - [Zero-shot image classification pipeline] Remove tokenizer_kwargs

#39821 - Support MetaCLIP 2

#58 - Add EoMT DINOv3 model

#59 - Fix attention mask handling in EoMT-DINOv3 converter

#41212 - Add EoMT with DINOv3 backbone

#62 - Add initial DEIMv2 model implementation

Author

CharbelAD

Parents

0864dd3b

transformers 2ca73e5e - Fixed passing scheduler-specific kwargs via TrainingArguments lr_scheduler_kwargs (#27595)

transformers
2ca73e5e - Fixed passing scheduler-specific kwargs via TrainingArguments lr_scheduler_kwargs (#27595)