transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- SequenceClassification for all Model types should have the option to add weights in Cross Entropy loss
- issues when i change the lm_head to a 32 node layer
- [setup] migrate setup script to `pyproject.toml` (reland #22539)
- The dot in the model name when using auto_map will cause a path parsing error.
- size mismatch for lm_head.weight: copying a param with shape torch.Size([32, 768]) from checkpoint, the shape in current model is torch.Size([59744, 768]).
- Refactoring of ImageProcessorFast
- Multiple training runs not working with deepspeed
- `trainer.evaluate` always creates a new MLFlow run, separate from the one used during `train()`
- When extending embeddings, multivariate distribution isn't correctly estimated even when the calculated sigma matrix is symmetric and positive definite
- Bug of eval loss when enabling average_tokens_across_devices
- Docs
- Python not yet supported