3.2 KiB
3.2 KiB
Precomputed pseudolabels
- decompress with tar -xzvf. The produced directory name may differ from the filename.
| Dataset | Model | Rouge Scores | Notes | Link |
|---|---|---|---|---|
| XSUM | facebook/bart-large-xsum | 49.8/28.0/42.5 | download | |
| XSUM | google/pegasus-xsum | 53.3/32.7/46.5 | download | |
| XSUM | facebook/bart-large-xsum | ? | Bart pseudolabels filtered to those with Rouge2 > 10.0 w GT | download |
| download | ||||
| CNN/DM | sshleifer/pegasus-cnn-ft-v2 | 47.316/26.65/44.56 | do not worry about the fact that train.source is one line shorter. | download |
| CNN/DM | facebook/bart-large-cnn | 5K (2%) are missing, there should be 282173 | download | |
| CNN/DM | google/pegasus-xsum | 21.5/6.76/25 | extra labels for xsum distillation Used max_source_length=512, (and all other pegasus-xsum configuration). | download |
| EN-RO | Helsinki-NLP/opus-mt-en-ro | download | ||
| EN-RO | facebook/mbart-large-en-ro | download |
Generating Pseudolabels
- These command takes a while to run. For example, pegasus_cnn_cnn_pls.tgz took 8 hours on 8 GPUs.
- Pegasus does not work in fp16 :(, Bart, mBART and Marian do.
python -m torch.distributed.launch --nproc_per_node=8 run_distributed_eval.py \
--model_name facebook/bart-large-xsum --save_dir bart_xsum_pl --data_dir xsum \
--fp16 --bs 32 --sync_timeout 60000 --max_source_length 1024