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Gemma 7B Zephyr DPO

The Zephyr DPO recipe applied on top of SFT finetuned Gemma 7B

Model description

  • Model type: A 8.5B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets.
  • Language(s) (NLP): Primarily English
  • Finetuned from model: wandb/gemma-7b-zephyr-sft

Recipe

We trained using the DPO script in alignment handbook recipe and logging to W&B

Visit the W&B workspace here

License

This model has the same license as the original Gemma model collection

Compute provided by Lambda Labs - 8xA100 80GB node

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 61.62
AI2 Reasoning Challenge (25-Shot) 60.84
HellaSwag (10-Shot) 80.44
MMLU (5-Shot) 60.60
TruthfulQA (0-shot) 42.48
Winogrande (5-shot) 75.37
GSM8k (5-shot) 49.96
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Base model

google/gemma-7b
Finetuned
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this model

Dataset used to train wandb/gemma-7b-zephyr-dpo

Evaluation results