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@@ -36,4 +36,4 @@ The model is evaluated based on several metrics, including loss, reward, penalty
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  - Average loss: 1.7
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  ## Limitations and Bias
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- Because I have a rather weak computer for machine learning, I was not able to train this model for too long. The model may output irrelevant answers, or even sometimes the responses can be nonsensical. The Interface API is not a recommended place to test the model because this model requires a input format. This model was not fine-tuned to remember history from the chat, so it cannot be asked follow up questions (if anyone wants to fine-tune it so that it does remember chat history, be my guest).
 
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  - Average loss: 1.7
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  ## Limitations and Bias
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+ Because I have a rather weak computer for machine learning, I was not able to train this model for too long. The model may output irrelevant answers, or sometimes the responses can be nonsensical. The Interface API is not a recommended place to test the model because this model requires an input format. This model was not fine-tuned to remember history from the chat, so it cannot be asked follow-up questions (if anyone wants to fine-tune it so that it does remember the chat history, be my guest). A GPU with at least 4 gigabytes of VRAM is recommended for optimal speeds to generate a response.