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--- |
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language: |
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- en |
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license: apache-2.0 |
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datasets: |
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- Open-Orca/SlimOrca |
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model-index: |
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- name: test-case-2 |
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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: 58.53 |
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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=NLUHOPOE/test-case-2 |
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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: 79.4 |
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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=NLUHOPOE/test-case-2 |
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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: 56.14 |
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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=NLUHOPOE/test-case-2 |
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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: 49.59 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NLUHOPOE/test-case-2 |
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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: 75.3 |
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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=NLUHOPOE/test-case-2 |
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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: 38.82 |
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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=NLUHOPOE/test-case-2 |
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name: Open LLM Leaderboard |
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--- |
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# Model Details |
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* Model Description: This model is test for data ordering. |
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* Developed by: Juhwan Lee |
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* Model Type: Large Language Model |
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# Model Architecture |
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This model is based on Mistral-7B-v0.1. We fine-tuning this model for data ordering task. |
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Mistral-7B-v0.1 is a transformer model, with the following architecture choices: |
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* Grouped-Query Attention |
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* Sliding-Window Attention |
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* Byte-fallback BPE tokenizer |
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# Dataset |
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We random sample SlimOrca dataset. |
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# Guthub |
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https://github.com/trailerAI |
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# License |
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Apache License 2.0 |
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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_NLUHOPOE__test-case-2) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |59.63| |
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|AI2 Reasoning Challenge (25-Shot)|58.53| |
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|HellaSwag (10-Shot) |79.40| |
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|MMLU (5-Shot) |56.14| |
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|TruthfulQA (0-shot) |49.59| |
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|Winogrande (5-shot) |75.30| |
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|GSM8k (5-shot) |38.82| |
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