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kssteven418 authored Feb 6, 2024
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Expand Up @@ -42,9 +42,29 @@ CUDA_VISIBLE_DEVICES=0 python run_bild_translation.py --model bild --small [smal
* `[RB]` is the rollback threshold (normally 2~5 works fine). `[FB]` is the fallback threshold that can have a value from 0 to 1. For more details of these two hyperparameters, please refer to our paper.



We also provide a command for running the baseline model:
```
CUDA_VISIBLE_DEVICES=0 python run_bild_translation.py --model [model_path] \
--dataset_name iwslt2017 --dataset_config iwslt2017-de-en --source_lang de --target_lang en
```
* `[model_path]` is the path to the baseline model (e.g. `[small_model_path]` or `[large_model_path]`)

## Pretrained Checkpoints

We provide finetuned checkpoints that were used for the evaluations in our paper.

| Dataset | Model | Link |
| -------- | -------- | -------- |
| IWSLT-2017-De-En | mT5-small | [link](https://huggingface.co/kssteven/mT5-small-iwslt2017-de-en) |
| IWSLT-2017-De-En | mT5-small (aligned) | [link](https://huggingface.co/kssteven/mT5-small-iwslt2017-de-en-bild-aligned) |
| IWSLT-2017-De-En | mT5-large | [link](https://huggingface.co/kssteven/mT5-large-iwslt2017-de-en) |
| WMT-2014-De-En | mT5-small | [link](https://huggingface.co/kssteven/mT5-small-wmt2014-de-en) |
| WMT-2014-De-En | mT5-small (aligned) | [link](https://huggingface.co/kssteven/mT5-small-wmt2014-de-en-bild-aligned) |
| WMT-2014-De-En | mT5-large | [link](https://huggingface.co/kssteven/mT5-large-wmt2014-de-en) |
| XSUM | T5-small | [link](https://huggingface.co/kssteven/T5-small-xsum) |
| XSUM | T5-small (aligned) | [link](https://huggingface.co/kssteven/T5-small-xsum-bild-aligned) |
| XSUM | T5-large | [link](https://huggingface.co/kssteven/T5-large-xsum) |
| CNNDM | T5-small | [link](https://huggingface.co/kssteven/T5-small-cnndm) |
| CNNDM | T5-small (aligned) | [link](https://huggingface.co/kssteven/T5-small-cnndm-bild-aligned) |
| CNNDM | T5-large | [link](https://huggingface.co/kssteven/T5-large-cnndm) |

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