Llama 3 finetuned on my TRRR-CoT Dataset
cookinai/TRRR-CoT
- This was an attempt at synthetically generating a CoT dataset and then finetuning it on a model to see its reuslts.
- From what I notice, when using the correct prompt template the model almost always ues the TRRR format, but I am still awaiting benchmark tests to see if this can improve anything
- TRR stand for:
- Think, about your response
- Respond, how you normally would
- Reflect, on your response
- Respond, again but this time use all the information you have now
The mode usually tries to follow this format, it may mix it up a little but usually it almost always reflects in someway. Especially if you tell it to think step by step
Intrestingly enough, when finetuned on mistral 7b, I could not get the model CoT at all, with only one epoch llama 3 got it instantly
Developed by: cookinai
License: apache-2.0
Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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