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license: cc-by-2.0 |
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language: |
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- en |
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tags: |
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- finance |
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- legal |
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- biology |
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- art |
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Behold, one of the first fine-tunes of Mistral's 7B 0.2 Base model. SatoshiN is trained on 4 epochs 2e-4 learning rate (cosine) of a diverse custom data-set, combined with a polishing round of that same data-set at a 1e-4 linear learning rate. |
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It's a nice assistant that isn't afraid to ask questions, and gather additional information before providing a response to user prompts. |
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SatoshiN | Base-Model |
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Wikitext Perplexity: 6.27 | 5.4 |
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**Similar to SOTA, this model runs a bit hot, try using lower temperatures below .5 if experiencing any nonsense) |
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