Adding Evaluation Results (#4)
Browse files- Adding Evaluation Results (69c9834c8d6ff51179344da3a52b4d4dd7e2438a)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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---
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license: llama2
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datasets:
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- garage-bAInd/Open-Platypus
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- ehartford/dolphin
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- tatsu-lab/alpaca
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- databricks/databricks-dolly-15k
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- WizardLM/WizardLM_evol_instruct_V2_196k
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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---
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# model_007_13b_v2
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@@ -210,3 +313,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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| Winogrande (5-shot) | 75.85 |
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| GSM8K (5-shot) | 1.36 |
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| DROP (3-shot) | 43.97 |
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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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- ehartford/dolphin
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- tatsu-lab/alpaca
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- databricks/databricks-dolly-15k
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- WizardLM/WizardLM_evol_instruct_V2_196k
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pipeline_tag: text-generation
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model-index:
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- name: model_007_13b_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: 61.95
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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_13b_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: 82.48
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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_13b_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: 57.32
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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_13b_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: 53.5
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/model_007_13b_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: 75.85
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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_13b_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: 1.36
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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_13b_v2
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name: Open LLM Leaderboard
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---
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# model_007_13b_v2
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| Winogrande (5-shot) | 75.85 |
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| GSM8K (5-shot) | 1.36 |
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| DROP (3-shot) | 43.97 |
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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_13b_v2)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |55.41|
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|AI2 Reasoning Challenge (25-Shot)|61.95|
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|HellaSwag (10-Shot) |82.48|
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|MMLU (5-Shot) |57.32|
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|TruthfulQA (0-shot) |53.50|
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|Winogrande (5-shot) |75.85|
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|GSM8k (5-shot) | 1.36|
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