finetune-demo-lora / docs /lr_groups.qmd
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---
title: Learning Rate Groups
description: "Setting different learning rates by module name"
---
## Background
Inspired by LoRA+, Axolotl allows practitioners to specify separate learning rates for each module or groups of
modules in a model.
## Example
```yaml
lr_groups:
- name: o_proj
modules:
- self_attn.o_proj.weight
lr: 1e-6
- name: q_proj
modules:
- model.layers.2.self_attn.q_proj.weight
lr: 1e-5
learning_rate: 2e-5
```
In this example, we have a default learning rate of 2e-5 across the entire model, but we have a separate learning rate
of 1e-6 for all the self attention `o_proj` modules across all layers, and a learning are of 1e-5 to the 3rd layer's
self attention `q_proj` module.