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Adding Evaluation Results (#2)
Browse files- Adding Evaluation Results (bd7466265294ec84a40572e656d2a402c65f17ec)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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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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- pankajmathur/orca_mini_v1_dataset
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- pankajmathur/lima_unchained_v1
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- pankajmathur/dolly-v2_orca
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- garage-bAInd/Open-Platypus
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- ehartford/dolphin
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---
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# model_101
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@@ -223,3 +326,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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| Winogrande (5-shot) | 82.08 |
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| GSM8K (5-shot) | 44.81 |
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| DROP (3-shot) | 55.1 |
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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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- pankajmathur/orca_mini_v1_dataset
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- pankajmathur/lima_unchained_v1
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- pankajmathur/dolly-v2_orca
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- garage-bAInd/Open-Platypus
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- ehartford/dolphin
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model-index:
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- name: model_101
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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: 68.69
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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_101
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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: 86.42
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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_101
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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: 69.92
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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_101
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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: 58.85
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/model_101
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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: 82.08
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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_101
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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: 44.81
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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_101
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name: Open LLM Leaderboard
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---
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# model_101
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| Winogrande (5-shot) | 82.08 |
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| GSM8K (5-shot) | 44.81 |
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| DROP (3-shot) | 55.1 |
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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_101)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |68.46|
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|AI2 Reasoning Challenge (25-Shot)|68.69|
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|HellaSwag (10-Shot) |86.42|
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|MMLU (5-Shot) |69.92|
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|TruthfulQA (0-shot) |58.85|
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|Winogrande (5-shot) |82.08|
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|GSM8k (5-shot) |44.81|
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