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--- |
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license: mit |
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datasets: |
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- Nebulous/gpt4all_pruned |
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- sahil2801/CodeAlpaca-20k |
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- yahma/alpaca-cleaned |
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--- |
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This repo contains a low-rank adapter for **LLaMA-7b** fit on |
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- `Nebulous/gpt4all_pruned` |
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- `sahil2801/CodeAlpaca-20k` |
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- `yahma/alpaca-cleaned` |
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- 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_: 8 |
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- Lora Alpha: 32 |
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- Lora target modules: q_proj, k_proj, v_proj, o_proj |
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The model was trained with flash attention and gradient checkpointing. |
