fairseq-dense-125M / README.md
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Adding Evaluation Results (#4)
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language: en
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This is a Hugging Face transformers-compatible conversion of the original dense 125M-parameter model from the paper "[Efficient Large Scale Language Modeling with Mixtures of Experts](https://arxiv.org/abs/2112.10684)" from Artetxe et al. Please refer to the original model card, which can be found at https://github.com/facebookresearch/fairseq/blob/main/examples/moe_lm/model_card.md.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_KoboldAI__fairseq-dense-125M)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 26.0 |
| ARC (25-shot) | 24.06 |
| HellaSwag (10-shot) | 34.14 |
| MMLU (5-shot) | 23.98 |
| TruthfulQA (0-shot) | 43.72 |
| Winogrande (5-shot) | 50.59 |
| GSM8K (5-shot) | 0.0 |
| DROP (3-shot) | 5.5 |