Update README.md

README.md

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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.
 It's a nice assistant that isn't afraid to ask questions, and gather additional information before providing a response to user prompts.
 
-  I have found varying success using instruction-formats such as Alpaca, ChatML and Mistral. The custom training was performed on raw-text with the idea that it might acquire better generalization skills.
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-  Total model-size has increased from 7.24B to 7.35B after merging a .5GB LoRa via PEFT.
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 SatoshiN | Base-Model
 
 Wikitext Perplexity: 6.27 | 5.4