leaderboard-pr-bot
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Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co./spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co./spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions
README.md
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@@ -43,4 +43,17 @@ torchrun --nproc_per_node=4 --master_port=3045 train.py \
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--fsdp "shard_grad_op auto_wrap" \
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--fsdp_transformer_layer_cls_to_wrap 'LLaMADecoderLayer' \
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--tf32 True --report_to="wandb"
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```
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--fsdp "shard_grad_op auto_wrap" \
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--fsdp_transformer_layer_cls_to_wrap 'LLaMADecoderLayer' \
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--tf32 True --report_to="wandb"
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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_chavinlo__alpaca-native)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 41.96 |
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| ARC (25-shot) | 52.3 |
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| HellaSwag (10-shot) | 77.09 |
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| MMLU (5-shot) | 41.6 |
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| TruthfulQA (0-shot) | 37.58 |
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| Winogrande (5-shot) | 69.46 |
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| GSM8K (5-shot) | 1.44 |
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| DROP (3-shot) | 14.23 |
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