license, library_name, datasets, base_model, license_name, license_link, model-index

license	library_name	datasets	base_model	license_name	license_link	model-index
other	transformers	HuggingFaceH4/ultrafeedback_binarized	wandb/gemma-7b-zephyr-sft	gemma-terms-of-use	https://ai.google.dev/gemma/terms	name results gemma-7b-zephyr-dpo task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 60.84 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tcapelle/gemma-7b-zephyr-dpo Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 80.44 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tcapelle/gemma-7b-zephyr-dpo Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 60.6 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tcapelle/gemma-7b-zephyr-dpo Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 42.48 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tcapelle/gemma-7b-zephyr-dpo Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 75.37 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tcapelle/gemma-7b-zephyr-dpo Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 49.96 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tcapelle/gemma-7b-zephyr-dpo Open LLM Leaderboard

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