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--- |
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language: |
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- en |
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- de |
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license: mit |
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model-index: |
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- name: LexGPT-V3 |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 66.47 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 85.91 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 64.48 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 59.98 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 78.53 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 61.56 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3 |
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name: Open LLM Leaderboard |
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--- |
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This Model was just an Test Train to see how our new Training Algorithm and Data does like. |
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Model is based on Mistral v0.1 |
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As this was an test run, we just tested it and heres the Data, the model hasnt Improved any better. |
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| Model | Turn 1 Score | Turn 2 Score | Average Score | |
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|-------|-------------|-------------|---------------| |
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| gpt-4 | 8.95625 | 9.025000 | 8.990625 | |
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| gpt-3.5-turbo | 8.075000 | 7.943750 | 7.943750 | |
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| claude-v1 | 8.150000 | 7.900000 | 8.025000 | |
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| **LexGPT-V3** | **8.14375** | 7.719355 | 7.926667 | |
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| vicuna-13b-v1.3 | 6.812500 | 5.962500 | 6.387500 | |
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Open-LLM Leaderboard Results: |
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[Results](https://huggingface.co/datasets/open-llm-leaderboard/details_lex-hue__LexGPT-V3) |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_lex-hue__LexGPT-V3) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |69.49| |
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|AI2 Reasoning Challenge (25-Shot)|66.47| |
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|HellaSwag (10-Shot) |85.91| |
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|MMLU (5-Shot) |64.48| |
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|TruthfulQA (0-shot) |59.98| |
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|Winogrande (5-shot) |78.53| |
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|GSM8k (5-shot) |61.56| |
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