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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (82e84ea66fd306f9289eac244d6c4122299e4b57)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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@@ -1,8 +1,103 @@
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---
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library_name: transformers
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tags:
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- not-for-all-audiences
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-
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---
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Test model, the base is llama 3.1 instruct abliterated. Context limit unknown
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@@ -61,3 +156,17 @@ merged the previous Lora with this finetuned abliterated model
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finnaly, merge the two model using ties
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```
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---
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license: llama3.1
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library_name: transformers
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tags:
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- not-for-all-audiences
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model-index:
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- name: Llama-3.1-Jamet-8B-MK.I
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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: 73.38
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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=Hastagaras/Llama-3.1-Jamet-8B-MK.I
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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: 29.5
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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=Hastagaras/Llama-3.1-Jamet-8B-MK.I
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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: 12.54
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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=Hastagaras/Llama-3.1-Jamet-8B-MK.I
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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: 3.24
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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=Hastagaras/Llama-3.1-Jamet-8B-MK.I
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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: 6.14
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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=Hastagaras/Llama-3.1-Jamet-8B-MK.I
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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: 27.58
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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=Hastagaras/Llama-3.1-Jamet-8B-MK.I
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name: Open LLM Leaderboard
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---
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Test model, the base is llama 3.1 instruct abliterated. Context limit unknown
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finnaly, merge the two model using ties
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```
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+
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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_Hastagaras__Llama-3.1-Jamet-8B-MK.I)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |25.40|
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|IFEval (0-Shot) |73.38|
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|BBH (3-Shot) |29.50|
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|MATH Lvl 5 (4-Shot)|12.54|
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|GPQA (0-shot) | 3.24|
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|MuSR (0-shot) | 6.14|
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|MMLU-PRO (5-shot) |27.58|
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