Fine-Tuned LLMs
Collection
All the models that were fine-tuned from the open-sourced pre-trained models
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7 items
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Updated
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1
Fine-tune LLaMA 2 (7B) with LoRA on meta-math/MetaMathQA
Fine-tune for one epoch
Result:
After the pre-training: Invalid output length: 7, Testing length: 1319 , Accuracy: 0.580
Comparison
The official report accuracy is 0.665 by fine-tuning the whole LLaMA 2 7B model for 3 epochs.
Note: The LoRA adapter is being used for future research purposes.
🚀 Adapter Usage
# Load the Pre-trained LoRA Adapter
model.load_adapter("shuyuej/metamath_lora_qkv_llama2_7b")
model.enable_adapters()
Unable to determine this model's library. Check the
docs
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Collection including shuyuej/metamath_lora_qkv_llama2_7b
Evaluation results
- Accuracy (zero-shot) on meta-math/MetaMathQAArithmetic Reasoning on GSM8K0.580