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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (c1a21523b282e1e7c1fc587d5ac5c908d058c1e2)
- Update README.md (e39d245239f253df2cad1b2598e2b429869a5a44)
- Update README.md (86cb4c41db25fa2b09bba1d7fcab58e72540ab6b)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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license: apache-2.0
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base_model: Felladrin/Minueza-32M-Base
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pipeline_tag: text-generation
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language:
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- en
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datasets:
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- HuggingFaceH4/ultrachat_200k
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- Felladrin/ChatML-ultrachat_200k
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widget:
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content: Sure! What's it?
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- role: user
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content: What are some potential applications for quantum computing?
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inference:
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parameters:
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max_new_tokens: 250
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top_p: 0.55
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top_k: 35
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repetition_penalty: 1.176
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---
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# Minueza-32M-UltraChat: A chat model with 32 million parameters
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| Optimizer | Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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| Scheduler | cosine |
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| Seed | 42 |
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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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- HuggingFaceH4/ultrachat_200k
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- Felladrin/ChatML-ultrachat_200k
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base_model: Felladrin/Minueza-32M-Base
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pipeline_tag: text-generation
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widget:
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- messages:
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- role: system
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content: You are a career counselor. The user will provide you with an individual
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looking for guidance in their professional life, and your task is to assist
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them in determining what careers they are most suited for based on their skills,
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interests, and experience. You should also conduct research into the various
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options available, explain the job market trends in different industries, and
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advice on which qualifications would be beneficial for pursuing particular fields.
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- role: user
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content: Heya!
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- role: assistant
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content: Hi! How may I help you?
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- role: user
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content: I am interested in developing a career in software engineering. What
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would you recommend me to do?
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- messages:
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- role: user
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content: Morning!
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- role: assistant
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content: Good morning! How can I help you today?
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- role: user
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content: Could you give me some tips for becoming a healthier person?
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- messages:
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- role: user
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content: Write the specs of a game about mages in a fantasy world.
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- messages:
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- role: user
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content: Tell me about the pros and cons of social media.
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- messages:
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- role: system
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content: You are a highly knowledgeable and friendly assistant. Your goal is to
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understand and respond to user inquiries with clarity. Your interactions are
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always respectful, helpful, and focused on delivering the most accurate information
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to the user.
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- role: user
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content: Hey! Got a question for you!
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- role: assistant
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content: Sure! What's it?
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- role: user
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content: What are some potential applications for quantum computing?
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inference:
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parameters:
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max_new_tokens: 250
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top_p: 0.55
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top_k: 35
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repetition_penalty: 1.176
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model-index:
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- name: Minueza-32M-UltraChat
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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: 21.08
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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=Felladrin/Minueza-32M-UltraChat
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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: 26.95
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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=Felladrin/Minueza-32M-UltraChat
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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: 26.08
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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=Felladrin/Minueza-32M-UltraChat
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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: 47.7
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-UltraChat
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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: 51.78
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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=Felladrin/Minueza-32M-UltraChat
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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: 0.23
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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=Felladrin/Minueza-32M-UltraChat
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name: Open LLM Leaderboard
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---
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# Minueza-32M-UltraChat: A chat model with 32 million parameters
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| Optimizer | Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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| Scheduler | cosine |
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| Seed | 42 |
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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_Felladrin__Minueza-32M-UltraChat)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |28.97|
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|AI2 Reasoning Challenge (25-Shot)|21.08|
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|HellaSwag (10-Shot) |26.95|
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|MMLU (5-Shot) |26.08|
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|TruthfulQA (0-shot) |47.70|
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|Winogrande (5-shot) |51.78|
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|GSM8k (5-shot) | 0.23|
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