LexGPT-V3/README.md

language, license, model-index

language	license	model-index
en de	mit	name results LexGPT-V3 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 66.47 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 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 85.91 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 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 64.48 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 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 59.98 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 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 78.53 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 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 61.56 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 Open LLM Leaderboard

This Model was just an Test Train to see how our new Training Algorithm and Data does like.

Model is based on Mistral v0.1

As this was an test run, we just tested it and heres the Data, the model hasnt Improved any better.

Model	Turn 1 Score	Turn 2 Score	Average Score
gpt-4	8.95625	9.025000	8.990625
gpt-3.5-turbo	8.075000	7.943750	7.943750
claude-v1	8.150000	7.900000	8.025000
LexGPT-V3	8.14375	7.719355	7.926667
vicuna-13b-v1.3	6.812500	5.962500	6.387500

Open-LLM Leaderboard Results: Results

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	69.49
AI2 Reasoning Challenge (25-Shot)	66.47
HellaSwag (10-Shot)	85.91
MMLU (5-Shot)	64.48
TruthfulQA (0-shot)	59.98
Winogrande (5-shot)	78.53
GSM8k (5-shot)	61.56