Adding Evaluation Results
#4
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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---
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license: cc-by-nc-4.0
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datasets:
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- pankajmathur/orca_mini_v1_dataset
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- openai/summarize_from_feedback
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- PygmalionAI/PIPPA
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- chargoddard/rpguild
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- lemonilia/LimaRP
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---
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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@@ -34,4 +137,17 @@ Dataset composition:
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| summarize_from_feedback | 9k | 26% |
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| orca_mini_v1_dataset | 5.6k | 17% |
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| rpguild | 2.86k | 8% |
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| LimaRP | 2k | 6% |
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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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tags:
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- mistral
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datasets:
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- pankajmathur/orca_mini_v1_dataset
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- openai/summarize_from_feedback
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- PygmalionAI/PIPPA
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- chargoddard/rpguild
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- lemonilia/LimaRP
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model-index:
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- name: loyal-piano-m7
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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: 66.72
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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=chargoddard/loyal-piano-m7
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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: 85.03
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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=chargoddard/loyal-piano-m7
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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: 64.43
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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=chargoddard/loyal-piano-m7
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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: 60.03
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/loyal-piano-m7
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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: 79.08
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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=chargoddard/loyal-piano-m7
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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: 56.71
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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=chargoddard/loyal-piano-m7
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name: Open LLM Leaderboard
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---
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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| summarize_from_feedback | 9k | 26% |
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| orca_mini_v1_dataset | 5.6k | 17% |
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| rpguild | 2.86k | 8% |
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| LimaRP | 2k | 6% |
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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_chargoddard__loyal-piano-m7)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |68.67|
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|AI2 Reasoning Challenge (25-Shot)|66.72|
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|HellaSwag (10-Shot) |85.03|
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|MMLU (5-Shot) |64.43|
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|TruthfulQA (0-shot) |60.03|
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|Winogrande (5-shot) |79.08|
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|GSM8k (5-shot) |56.71|
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