Adding Evaluation Results
#3
by
leaderboard-pr-bot
- opened
README.md
CHANGED
|
@@ -2,3 +2,17 @@
|
|
| 2 |
language: en
|
| 3 |
---
|
| 4 |
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](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.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
language: en
|
| 3 |
---
|
| 4 |
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](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.
|
| 5 |
+
|
| 6 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
| 7 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_KoboldAI__fairseq-dense-355M)
|
| 8 |
+
|
| 9 |
+
| Metric | Value |
|
| 10 |
+
|-----------------------|---------------------------|
|
| 11 |
+
| Avg. | 27.99 |
|
| 12 |
+
| ARC (25-shot) | 25.43 |
|
| 13 |
+
| HellaSwag (10-shot) | 46.67 |
|
| 14 |
+
| MMLU (5-shot) | 25.3 |
|
| 15 |
+
| TruthfulQA (0-shot) | 39.19 |
|
| 16 |
+
| Winogrande (5-shot) | 52.88 |
|
| 17 |
+
| GSM8K (5-shot) | 0.0 |
|
| 18 |
+
| DROP (3-shot) | 6.48 |
|