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@@ -70,4 +70,8 @@ A batch size of 1 was used because I ~~am GPU-poor~~ have 12GB of VRAM (RTX 3060
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And **none of the dataset** was used for evaluation loss, which was turned off entirely. It's too small of a dataset to be a meaningful metric, I assume. (I manually tested two merges at different points instead).
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6491e00e057b0928b3e07b75/3dFeseSAqHnJ9QLcms2hA.png)
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6491e00e057b0928b3e07b75/x2I7oXvRIzOcBQJ4BKzYU.png)
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And **none of the dataset** was used for evaluation loss, which was turned off entirely. It's too small of a dataset to be a meaningful metric, I assume. (I manually tested two merges at different points instead).
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6491e00e057b0928b3e07b75/3dFeseSAqHnJ9QLcms2hA.png)
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# Notice for SillyTavern users
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The typical Alpaca format that has `### Instruction` and `### Response` will literally interpret what you say as an instruction in a character chat. I would recommend changing this to have the character names instead, e.g `{{user}}` in place of Instruction, and `{{char}}` in place of Response.
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That seemed to improve results as a result, and the character card is also followed well.
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