139 lines
3.9 KiB
Markdown
139 lines
3.9 KiB
Markdown
---
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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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