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--- |
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language: |
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- en |
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license: cc-by-nc-4.0 |
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datasets: |
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- garage-bAInd/Open-Platypus |
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model-index: |
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- name: Nova-13B |
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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: 62.71 |
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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=TFLai/Nova-13B |
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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: 82.57 |
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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=TFLai/Nova-13B |
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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: 57.98 |
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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=TFLai/Nova-13B |
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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: 51.34 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B |
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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: 77.27 |
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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=TFLai/Nova-13B |
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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: 6.75 |
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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=TFLai/Nova-13B |
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name: Open LLM Leaderboard |
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--- |
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<a href="https://www.buymeacoffee.com/PulsarAI" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a> |
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# Nova-13b |
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Original weights of Nova-13B. Finetuned from [AIDC-ai-business/Luban-13B](https://huggingface.co/AIDC-ai-business/Luban-13B). |
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## Lora Weights |
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You can access lora weights from here: |
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[Weyaxi/Nova-13B-Lora](https://huggingface.co/Weyaxi/Nova-13B-Lora) |
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# Loss Graph |
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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_TFLai__Nova-13B) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 49.64 | |
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| ARC (25-shot) | 62.71 | |
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| HellaSwag (10-shot) | 82.57 | |
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| MMLU (5-shot) | 57.98 | |
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| TruthfulQA (0-shot) | 51.34 | |
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| Winogrande (5-shot) | 77.27 | |
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| GSM8K (5-shot) | 6.75 | |
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| DROP (3-shot) | 8.84 | |
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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_TFLai__Nova-13B) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |56.44| |
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|AI2 Reasoning Challenge (25-Shot)|62.71| |
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|HellaSwag (10-Shot) |82.57| |
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|MMLU (5-Shot) |57.98| |
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|TruthfulQA (0-shot) |51.34| |
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|Winogrande (5-shot) |77.27| |
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|GSM8k (5-shot) | 6.75| |
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