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Adding Evaluation Results (#4)

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- Adding Evaluation Results (7d39d6df03673e0b1e3b0d0c2f509e11353fbd0f)


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

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  1. README.md +118 -1
README.md CHANGED
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  ---
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  language:
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  - en
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- library_name: transformers
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  license: llama2
 
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  datasets:
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  - garage-bAInd/Open-Platypus
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  - tatsu-lab/alpaca
@@ -13,6 +13,109 @@ datasets:
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  - psmathur/WizardLM_Orca
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  - psmathur/alpaca_orca
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  - psmathur/dolly-v2_orca
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  It's a preview version of psmathur/model_007, Sorry for the naming confusion.
@@ -209,3 +312,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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  | Winogrande (5-shot) | 84.14 |
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  | GSM8K (5-shot) | 28.66 |
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  | DROP (3-shot) | 31.38 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  language:
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  - en
 
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  license: llama2
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+ library_name: transformers
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  datasets:
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  - garage-bAInd/Open-Platypus
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  - tatsu-lab/alpaca
 
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  - psmathur/WizardLM_Orca
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  - psmathur/alpaca_orca
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  - psmathur/dolly-v2_orca
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+ model-index:
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+ - name: model_007_v2
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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: 71.42
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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=psmathur/model_007_v2
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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: 87.31
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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=psmathur/model_007_v2
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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: 68.58
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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=psmathur/model_007_v2
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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: 62.65
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/model_007_v2
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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: 84.14
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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=psmathur/model_007_v2
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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: 28.66
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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=psmathur/model_007_v2
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+ name: Open LLM Leaderboard
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  ---
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121
  It's a preview version of psmathur/model_007, Sorry for the naming confusion.
 
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  | Winogrande (5-shot) | 84.14 |
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  | GSM8K (5-shot) | 28.66 |
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  | DROP (3-shot) | 31.38 |
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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_psmathur__model_007_v2)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |67.13|
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+ |AI2 Reasoning Challenge (25-Shot)|71.42|
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+ |HellaSwag (10-Shot) |87.31|
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+ |MMLU (5-Shot) |68.58|
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+ |TruthfulQA (0-shot) |62.65|
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+ |Winogrande (5-shot) |84.14|
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+ |GSM8k (5-shot) |28.66|
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+