fairseq-dense-355M / README.md
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Adding Evaluation Results (#3)
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language: en

This is a Hugging Face transformers-compatible conversion of the original dense 355M-parameter model from the paper "Efficient Large Scale Language Modeling with Mixtures of Experts" 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

Detailed results can be found here

Metric Value
Avg. 27.99
ARC (25-shot) 25.43
HellaSwag (10-shot) 46.67
MMLU (5-shot) 25.3
TruthfulQA (0-shot) 39.19
Winogrande (5-shot) 52.88
GSM8K (5-shot) 0.0
DROP (3-shot) 6.48