887513285d
* support for custom lr groups for non-embedding modules invert name check for group modules include lr_groups in training args additional conditional for creating optimizer fix regular params as w weight decay fix lookup and add docs * address pr feedback
30 lines
738 B
Plaintext
30 lines
738 B
Plaintext
---
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title: Learning Rate Groups
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description: "Setting different learning rates by module name"
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---
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## Background
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Inspired by LoRA+, Axolotl allows practitioners to specify separate learning rates for each module or groups of
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modules in a model.
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## Example
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```yaml
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lr_groups:
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- name: o_proj
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modules:
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- self_attn.o_proj.weight
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lr: 1e-6
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- name: q_proj
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modules:
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- model.layers.2.self_attn.q_proj.weight
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lr: 1e-5
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learning_rate: 2e-5
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```
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In this example, we have a default learning rate of 2e-5 across the entire model, but we have a separate learning rate
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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
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self attention `q_proj` module.
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