UNA-POLAR-10.7B-InstructMath-v2/README.md

language, license, tags, datasets, model-index

language	license	tags	datasets	model-index
en	cc-by-nc-nd-4.0	UNA SOLAR MathPILE	GAIR/MathPile	name results UNA-POLAR-10.7B-InstructMath-v2 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 70.73 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-POLAR-10.7B-InstructMath-v2 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 88.2 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-POLAR-10.7B-InstructMath-v2 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 66.03 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-POLAR-10.7B-InstructMath-v2 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 71.73 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-POLAR-10.7B-InstructMath-v2 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 82.95 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-POLAR-10.7B-InstructMath-v2 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 64.75 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-POLAR-10.7B-InstructMath-v2 Open LLM Leaderboard

UNA-POLAR-10.7B-InstructMath-v2

Model description

Its a UNA version with DPO over MathPILE Books out of the UNA-SOLAR-10.7B-Instruct-1.0

I used MathPILE OUTSTANDING Dataset of great Mathematic material in order to produce this beautiful model :)

Intended uses & limitations

If your model has inside UNA technology, cite.

Training and evaluation data

UNA-DPO over Attention and MLP's

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2-UNA
• Pytorch 2.1.2+cu121
• Datasets 2.16.0
• Tokenizers 0.15.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	74.07
AI2 Reasoning Challenge (25-Shot)	70.73
HellaSwag (10-Shot)	88.20
MMLU (5-Shot)	66.03
TruthfulQA (0-shot)	71.73
Winogrande (5-shot)	82.95
GSM8k (5-shot)	64.75