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--- |
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language: |
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- en |
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license: other |
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datasets: |
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- OEvortex/vortex-mini |
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- yahma/alpaca-cleaned |
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license_name: tongyi-qianwen-research |
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license_link: https://huggingface.co/Qwen/Qwen1.5-0.5B/blob/main/LICENSE |
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pipeline_tag: text-generation |
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model-index: |
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- name: Qwen1.5-0.5B-vortex-v2 |
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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: 30.63 |
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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=Abhaykoul/Qwen1.5-0.5B-vortex-v2 |
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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: 45.54 |
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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=Abhaykoul/Qwen1.5-0.5B-vortex-v2 |
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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: 36.29 |
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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=Abhaykoul/Qwen1.5-0.5B-vortex-v2 |
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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: 44.29 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Abhaykoul/Qwen1.5-0.5B-vortex-v2 |
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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: 56.04 |
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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=Abhaykoul/Qwen1.5-0.5B-vortex-v2 |
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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: 5.91 |
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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=Abhaykoul/Qwen1.5-0.5B-vortex-v2 |
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name: Open LLM Leaderboard |
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--- |
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# Qwen1.5-0.5B-vortex-v2 model card |
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Qwen1.5-0.5B-vortex-v2 is a dealigned chat finetune of the original fantastic Qwen1.5-0.5B model by the Qwen team. |
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This model was trained on the Vortex mini dataset and alpaca-cleaned using axolotl for 4 epoch |
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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_Abhaykoul__Qwen1.5-0.5B-vortex-v2) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |36.45| |
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|AI2 Reasoning Challenge (25-Shot)|30.63| |
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|HellaSwag (10-Shot) |45.54| |
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|MMLU (5-Shot) |36.29| |
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|TruthfulQA (0-shot) |44.29| |
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|Winogrande (5-shot) |56.04| |
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|GSM8k (5-shot) | 5.91| |
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