Adding Evaluation Results
#2
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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---
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datasets:
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- Open-Orca/SlimOrca
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- ise-uiuc/Magicoder-OSS-Instruct-75K
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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- meta-math/MetaMathQA
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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arxiv: 2401.02731
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---
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@@ -80,4 +183,17 @@ print(tokenizer.decode(pred.cpu()[0], skip_special_tokens=True))
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```
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## License
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The source code in this repo is licensed under the [Apache 2.0 License](https://github.com/wuhy68/Parameter-Efficient-MoE/blob/master/LICENSE). Camelidae models are developed for academic research and free commercial use, all usage must adhere to the license from [facebookresearch](https://github.com/facebookresearch/llama/blob/main/LICENSE) and [01-ai](https://github.com/01-ai/Yi/blob/main/MODEL_LICENSE_AGREEMENT.txt).
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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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library_name: transformers
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datasets:
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- Open-Orca/SlimOrca
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- ise-uiuc/Magicoder-OSS-Instruct-75K
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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- meta-math/MetaMathQA
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pipeline_tag: text-generation
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arxiv: 2401.02731
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model-index:
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- name: Camelidae-8x7B
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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: 55.63
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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=hywu/Camelidae-8x7B
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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: 79.18
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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=hywu/Camelidae-8x7B
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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: 50.1
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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=hywu/Camelidae-8x7B
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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: 42.86
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hywu/Camelidae-8x7B
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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: 76.24
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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=hywu/Camelidae-8x7B
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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: 22.82
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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=hywu/Camelidae-8x7B
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name: Open LLM Leaderboard
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---
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```
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## License
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The source code in this repo is licensed under the [Apache 2.0 License](https://github.com/wuhy68/Parameter-Efficient-MoE/blob/master/LICENSE). Camelidae models are developed for academic research and free commercial use, all usage must adhere to the license from [facebookresearch](https://github.com/facebookresearch/llama/blob/main/LICENSE) and [01-ai](https://github.com/01-ai/Yi/blob/main/MODEL_LICENSE_AGREEMENT.txt).
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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_hywu__Camelidae-8x7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |54.47|
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|AI2 Reasoning Challenge (25-Shot)|55.63|
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|HellaSwag (10-Shot) |79.18|
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|MMLU (5-Shot) |50.10|
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|TruthfulQA (0-shot) |42.86|
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|Winogrande (5-shot) |76.24|
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|GSM8k (5-shot) |22.82|
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