Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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---
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license: mit
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language:
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- en
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base_model:
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- meta-llama/Llama-3.2-3B-Instruct
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---
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* **Model size: 3.21B parameters**
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@@ -70,4 +165,17 @@ Thanks to Meta for the fantastic Llama-3.2-3B model!
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**Finetuning Dataset:**
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* The model was fine-tuned on a privately collected dataset. Further details on training data are withheld.
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---
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language:
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- en
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license: mit
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base_model:
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- meta-llama/Llama-3.2-3B-Instruct
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model-index:
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- name: Gladiator-Mini-Exp-1222-3B-Instruct
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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: 61.63
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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=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
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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: 20.57
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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=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
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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: 13.44
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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=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
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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: 1.79
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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=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
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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: 1.6
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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=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
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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: 22.41
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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=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
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name: Open LLM Leaderboard
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---
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* **Model size: 3.21B parameters**
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**Finetuning Dataset:**
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* The model was fine-tuned on a privately collected dataset. Further details on training data are withheld.
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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/MultivexAI__Gladiator-Mini-Exp-1222-3B-Instruct-details)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |20.24|
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|IFEval (0-Shot) |61.63|
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|BBH (3-Shot) |20.57|
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|MATH Lvl 5 (4-Shot)|13.44|
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|GPQA (0-shot) | 1.79|
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|MuSR (0-shot) | 1.60|
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|MMLU-PRO (5-shot) |22.41|
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