Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (3e617523c6eba47472a65be6511eb6bf22826656)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
CHANGED
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---
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base_model: EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code
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language:
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- en
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license: apache-2.0
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@@ -9,8 +8,104 @@ tags:
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- unsloth
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- llama
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- trl
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datasets:
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- EpistemeAI/agentic-test1
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---
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# Agent LLama
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@@ -237,4 +332,17 @@ Go to model card [Llama-Guard](https://huggingface.co/meta-llama/Llama-Guard-3-8
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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-
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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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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- unsloth
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- llama
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- trl
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+
base_model: EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code
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datasets:
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- EpistemeAI/agentic-test1
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model-index:
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- name: Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
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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: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 55.15
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
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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: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 26.74
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
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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: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 12.01
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
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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: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 7.27
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
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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: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 6.79
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
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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-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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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: 26.89
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
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name: Open LLM Leaderboard
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---
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# Agent LLama
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_EpistemeAI2__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |22.48|
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|IFEval (0-Shot) |55.15|
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|BBH (3-Shot) |26.74|
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|MATH Lvl 5 (4-Shot)|12.01|
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|GPQA (0-shot) | 7.27|
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|MuSR (0-shot) | 6.79|
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|MMLU-PRO (5-shot) |26.89|
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