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Adding Evaluation Results

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This 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

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  1. README.md +14 -1
README.md CHANGED
@@ -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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+
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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 |