-
Notifications
You must be signed in to change notification settings - Fork 29.3k
Simplify and update trl examples #38772
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
base: main
Are you sure you want to change the base?
Conversation
optim="galore_adamw", | ||
optim_target_modules=[r".*.attn.*", r".*.mlp.*"], | ||
optim_args="rank=64, update_proj_gap=100, scale=0.10", | ||
gradient_checkpointing=True, |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
soon default, but for now we need this to avoid oom
@@ -392,15 +392,15 @@ training_args = TrainingArguments( | |||
|
|||
[Gradient Low-Rank Projection (GaLore)](https://hf.co/papers/2403.03507) significantly reduces memory usage when training large language models (LLMs). One of GaLores key benefits is *full-parameter* learning, unlike low-rank adaptation methods like [LoRA](https://hf.co/papers/2106.09685), which produces better model performance. | |||
|
|||
Install the [GaLore](https://github.com/jiaweizzhao/GaLore) library, [TRL](https://hf.co/docs/trl/index), and [Datasets](https://hf.co/docs/datasets/index). | |||
Install the [GaLore](https://github.com/jiaweizzhao/GaLore) library, [TRL](https://hf.co/docs/trl/index). |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
datasets is a dep of trl
The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Wow thanks for simplifying :)
@@ -392,15 +392,15 @@ training_args = TrainingArguments( | |||
|
|||
[Gradient Low-Rank Projection (GaLore)](https://hf.co/papers/2403.03507) significantly reduces memory usage when training large language models (LLMs). One of GaLores key benefits is *full-parameter* learning, unlike low-rank adaptation methods like [LoRA](https://hf.co/papers/2106.09685), which produces better model performance. | |||
|
|||
Install the [GaLore](https://github.com/jiaweizzhao/GaLore) library, [TRL](https://hf.co/docs/trl/index), and [Datasets](https://hf.co/docs/datasets/index). | |||
Install the [GaLore](https://github.com/jiaweizzhao/GaLore) library, [TRL](https://hf.co/docs/trl/index). |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Install the [GaLore](https://github.com/jiaweizzhao/GaLore) library, [TRL](https://hf.co/docs/trl/index). | |
Install the [GaLore](https://github.com/jiaweizzhao/GaLore) and [TRL](https://hf.co/docs/trl/index) libraries. |
What does this PR do?
Fixes # (issue)
Before submitting
Pull Request section?
to it if that's the case.
documentation guidelines, and
here are tips on formatting docstrings.
Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.