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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (8af97bc893dd9f7ee53e54a6b497b420dc9a74e8)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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---
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license: apache-2.0
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base_model: microsoft/phi-2
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language:
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- en
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-
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tags:
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- alignment-handbook
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- generated_from_trainer
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---
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# outputs
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@@ -44,3 +147,17 @@ The following hyperparameters were used during training:
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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---
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language:
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- en
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license: apache-2.0
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tags:
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- alignment-handbook
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- generated_from_trainer
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base_model: microsoft/phi-2
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pipeline_tag: text-generation
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model-index:
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- name: spin-phi2
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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: 63.57
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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=amu/spin-phi2
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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: 75.57
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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=amu/spin-phi2
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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: 57.93
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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=amu/spin-phi2
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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: 46.22
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=amu/spin-phi2
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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: 73.48
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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=amu/spin-phi2
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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: 53.3
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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=amu/spin-phi2
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name: Open LLM Leaderboard
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---
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# outputs
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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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_amu__spin-phi2)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |61.68|
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|AI2 Reasoning Challenge (25-Shot)|63.57|
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|HellaSwag (10-Shot) |75.57|
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|MMLU (5-Shot) |57.93|
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|TruthfulQA (0-shot) |46.22|
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|Winogrande (5-shot) |73.48|
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|GSM8k (5-shot) |53.30|
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