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docs(config.qmd): add loraplus example (axolotl-ai-cloud#1577)
* Update qwen2-moe-lora.yaml * feat(project): update
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docs/config.qmd

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@@ -227,6 +227,12 @@ lora_modules_to_save:
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lora_fan_in_fan_out: false
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# LoRA+ hyperparameters
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# For more details about the following options, see:
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# https://arxiv.org/abs/2402.12354 and `src/axolotl/core/train_builder.py`
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loraplus_lr_ratio: # loraplus learning rate ratio lr_B / lr_A. Recommended value is 2^4.
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loraplus_lr_embedding: # loraplus learning rate for lora embedding layers. Default value is 1e-6.
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peft:
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# Configuration options for loftq initialization for LoRA
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# https://huggingface.co/docs/peft/developer_guides/quantization#loftq-initialization

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