Adding Evaluation Results
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by
leaderboard-pr-bot
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README.md
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---
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license: apache-2.0
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base_model: princeton-nlp/Sheared-LLaMA-1.3B
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tags:
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- generated_from_trainer
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model-index:
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- name: out
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results: []
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@@ -96,3 +96,17 @@ The following hyperparameters were used during training:
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- Pytorch 2.0.1+cu117
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: princeton-nlp/Sheared-LLaMA-1.3B
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model-index:
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- name: out
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results: []
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- Pytorch 2.0.1+cu117
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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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_Dans-DiscountModels__ShearedLlama-1.3b-FFT-Test1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |35.71|
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|AI2 Reasoning Challenge (25-Shot)|32.68|
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|HellaSwag (10-Shot) |59.99|
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|MMLU (5-Shot) |25.69|
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|TruthfulQA (0-shot) |36.97|
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|Winogrande (5-shot) |58.72|
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|GSM8k (5-shot) | 0.23|
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