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@@ -20,7 +20,7 @@ palmer is a series of ~1b parameters language models fine-tuned to be used as ba
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  |tinyllama-3 | 0.3029 |0.5935| 0.7329 | **0.5959**|
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  |palmer-002|**0.3242**|**0.5956**|**0.7345**| 0.5888|
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- This model shows exceptional performance and as of now is the best tinyllama-size base model. Furthermore, this proves LIMA paper point and serves as a good open-source alternative to `babbage-002`.
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  ### training
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  Training took ~3.5 P100 gpu hours. It was trained on 15,000 gpt-4 shuffled samples. palmer was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible.
 
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  |tinyllama-3 | 0.3029 |0.5935| 0.7329 | **0.5959**|
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  |palmer-002|**0.3242**|**0.5956**|**0.7345**| 0.5888|
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+ This model shows exceptional performance and as of now is the best tinyllama-size base model. Furthermore, this proves LIMA paper point and serves as a good open-source alternative to openai's `babbage-002`.
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  ### training
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  Training took ~3.5 P100 gpu hours. It was trained on 15,000 gpt-4 shuffled samples. palmer was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible.