fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Can not reproduce the bart-large results on xsum dataset
- How to do validation when training an NMT model use srun with multi Gpus
- torch 1.12 improve fairseq TransformerLayer ?
- Really slow training in pretraining phase using wav2vec2 while memory is consumed
- Config for Wav2Vec2 training from scratch
- Validation Accuracy - Finetuning ROBERTA on Glue Tasks
- when I train with transformer_align model，Error happened training one of my training set, other datasets are ok。
- The quantized model inference speed is slower than the non-quantized model.
- best_checkpoint_metric as f1
- HELP
- Docs
- Python not yet supported