Adding Evaluation Results
#1
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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base_model:
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- saishf/SOVLish-Maid-L3-8B
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- saishf/Ortho-SOVL-8B-L3
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- saishf/Merge-Mayhem-L3-V2
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- saishf/Merge-Mayhem-L3-V2.1
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---
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# merge
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@@ -42,3 +144,17 @@ merge_method: model_stock
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base_model: saishf/Ortho-SOVL-8B-L3
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dtype: bfloat16
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```
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---
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license: cc-by-nc-4.0
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library_name: transformers
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tags:
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- mergekit
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- merge
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base_model:
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- saishf/SOVLish-Maid-L3-8B
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- saishf/Ortho-SOVL-8B-L3
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- saishf/Merge-Mayhem-L3-V2
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- saishf/Merge-Mayhem-L3-V2.1
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model-index:
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- name: SOVL-Mega-Mash-L3-8B
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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: 62.03
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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=saishf/SOVL-Mega-Mash-L3-8B
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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: 79.68
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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=saishf/SOVL-Mega-Mash-L3-8B
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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: 67.64
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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=saishf/SOVL-Mega-Mash-L3-8B
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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: 51.84
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVL-Mega-Mash-L3-8B
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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: 76.16
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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=saishf/SOVL-Mega-Mash-L3-8B
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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: 67.25
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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=saishf/SOVL-Mega-Mash-L3-8B
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name: Open LLM Leaderboard
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---
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# merge
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base_model: saishf/Ortho-SOVL-8B-L3
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dtype: bfloat16
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```
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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_saishf__SOVL-Mega-Mash-L3-8B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |67.43|
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|AI2 Reasoning Challenge (25-Shot)|62.03|
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|HellaSwag (10-Shot) |79.68|
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|MMLU (5-Shot) |67.64|
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|TruthfulQA (0-shot) |51.84|
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|Winogrande (5-shot) |76.16|
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|GSM8k (5-shot) |67.25|
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