FusionNet
Fine-tuned model on English language using MoE method.
Model description
The FusionNet is a model to experiment with the MoE method, which could significantly increase the performance of the original model. The FusionNet has 12.9B parameters, and this model is fine-tuned. Enjoy!
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 75.91 |
| AI2 Reasoning Challenge (25-Shot) | 73.55 |
| HellaSwag (10-Shot) | 88.84 |
| MMLU (5-Shot) | 64.68 |
| TruthfulQA (0-shot) | 69.60 |
| Winogrande (5-shot) | 88.16 |
| GSM8k (5-shot) | 70.66 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard73.550
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.840
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.680
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard69.600
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard88.160
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard70.660