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Adding Evaluation Results (#1)

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- Adding Evaluation Results (eb28c88647c78a2b37a29e68bda4e02d16b32650)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +123 -7
README.md CHANGED
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  ---
 
 
 
 
 
 
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  base_model:
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  - Hastagaras/Halu-8B-Llama3-v0.3
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  - Blackroot/Llama-3-LongStory-LORA
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  - Hastagaras/Halu-8B-Llama3-v0.3
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  - Blackroot/Llama-3-8B-Abomination-LORA
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  - Hastagaras/Halu-8B-Llama3-v0.3
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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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- - not-for-all-audiences
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- license: llama3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ## EXPERIMENTAL MODEL
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@@ -52,4 +155,17 @@ merge_method: model_stock
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  base_model: Hastagaras/Halu-8B-Llama3-v0.3
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  dtype: bfloat16
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: llama3
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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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+ - not-for-all-audiences
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  base_model:
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  - Hastagaras/Halu-8B-Llama3-v0.3
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  - Blackroot/Llama-3-LongStory-LORA
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  - Hastagaras/Halu-8B-Llama3-v0.3
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  - Blackroot/Llama-3-8B-Abomination-LORA
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  - Hastagaras/Halu-8B-Llama3-v0.3
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+ model-index:
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+ - name: Halu-8B-Llama3-Blackroot
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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: 63.82
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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=Hastagaras/Halu-8B-Llama3-Blackroot
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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: 84.55
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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=Hastagaras/Halu-8B-Llama3-Blackroot
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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: 67.04
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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=Hastagaras/Halu-8B-Llama3-Blackroot
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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: 53.28
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot
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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: 79.48
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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=Hastagaras/Halu-8B-Llama3-Blackroot
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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: 70.51
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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=Hastagaras/Halu-8B-Llama3-Blackroot
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+ name: Open LLM Leaderboard
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  ---
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  ## EXPERIMENTAL MODEL
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  base_model: Hastagaras/Halu-8B-Llama3-v0.3
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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_Hastagaras__Halu-8B-Llama3-Blackroot)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |69.78|
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+ |AI2 Reasoning Challenge (25-Shot)|63.82|
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+ |HellaSwag (10-Shot) |84.55|
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+ |MMLU (5-Shot) |67.04|
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+ |TruthfulQA (0-shot) |53.28|
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+ |Winogrande (5-shot) |79.48|
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+ |GSM8k (5-shot) |70.51|
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+