Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,10 +1,113 @@
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---
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license: mit
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datasets:
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- UCLA-AGI/SPIN_iter0
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language:
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- en
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pipeline_tag: text-generation
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---
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Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models (https://arxiv.org/abs/2401.01335)
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@@ -57,4 +160,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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archivePrefix={arXiv},
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primaryClass={cs.LG}
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}
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-
```
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---
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language:
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- en
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license: mit
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datasets:
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- UCLA-AGI/SPIN_iter0
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pipeline_tag: text-generation
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model-index:
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- name: zephyr-7b-sft-full-SPIN-iter0
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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: 63.65
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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=UCLA-AGI/zephyr-7b-sft-full-SPIN-iter0
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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: 84.44
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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=UCLA-AGI/zephyr-7b-sft-full-SPIN-iter0
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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: 61.01
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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=UCLA-AGI/zephyr-7b-sft-full-SPIN-iter0
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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: 50.48
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=UCLA-AGI/zephyr-7b-sft-full-SPIN-iter0
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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: 77.98
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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=UCLA-AGI/zephyr-7b-sft-full-SPIN-iter0
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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: 36.69
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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=UCLA-AGI/zephyr-7b-sft-full-SPIN-iter0
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name: Open LLM Leaderboard
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---
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Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models (https://arxiv.org/abs/2401.01335)
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archivePrefix={arXiv},
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primaryClass={cs.LG}
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}
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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_UCLA-AGI__zephyr-7b-sft-full-SPIN-iter0)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |62.37|
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|AI2 Reasoning Challenge (25-Shot)|63.65|
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|HellaSwag (10-Shot) |84.44|
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|MMLU (5-Shot) |61.01|
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|TruthfulQA (0-shot) |50.48|
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|Winogrande (5-shot) |77.98|
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|GSM8k (5-shot) |36.69|
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