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research4pan merged 2 commits into from
Apr 10, 2024
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Add more clarification for data server problem #755

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Add more clarification for data server problem
research4pan Apr 10, 2024
c6b79b5
Add links to the script as well
research4pan Apr 10, 2024
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5 changes: 3 additions & 2 deletions README.md
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Expand Up @@ -102,7 +102,7 @@ Please refer to our [doc](https://optimalscale.github.io/LMFlow/examples/DATASET

### Finetuning (Full)
Full training updates all the parameters to finetune a language model.
Here is an example to finetune a GPT-2 base model
Here is an example to finetune a GPT-2 base model. (We encounter a data server problem recently. To avoid errors, please use the latest [`download.sh`](https://github.com/OptimalScale/LMFlow/blob/main/data/download.sh) script in main branch to download the dataset)
```sh
cd data && ./download.sh alpaca && cd -

Expand All @@ -113,7 +113,8 @@ cd data && ./download.sh alpaca && cd -
```

### Finetuning (LISA)
[LISA](https://arxiv.org/abs/2403.17919) is a memory-efficient finetuning algorithm that allows tradeoff between memory and the number of randomly unfreezed layers. This script currently is only tested in single gpus. Please stay tuned for our latest updates :smile:
[LISA](https://arxiv.org/abs/2403.17919) is a memory-efficient finetuning algorithm that allows tradeoff between memory and the number of randomly unfreezed layers. This script currently is only tested in single gpus. Please stay tuned for our latest updates :smile: (We encounter a data server problem recently. To avoid errors, please use the latest [`download.sh`](https://github.com/OptimalScale/LMFlow/blob/main/data/download.sh) script in main branch to download the dataset)

```sh
cd data && ./download.sh alpaca && cd -

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