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README.md
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---
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license: mit
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---
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This repo contains a low-rank adapter for LLaMA-7b fit on `Nebulous/gpt4all_pruned`, `sahil2801/CodeAlpaca-20k`, `yahma/alpaca-cleaned` and some datasets part of the OpenAssistant project.
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This version of the weights was trained with the following hyperparameters:
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- Epochs: 2
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- Batch size: 128
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- Max Length: 2048
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- Learning rate: 4e-6
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- Lora _r_: 16
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- Lora target modules: q_proj, k_proj, v_proj, o_proj
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