FusionNet_passthrough
Fine-tuned model on English language using passthrough Fusion method.
Model description
This is an experiment with the passthrough Fusion method of FusionNet. This model has 21.2B parameters, and this model is fine-tuned. Enjoy!
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 65.94 |
| AI2 Reasoning Challenge (25-Shot) | 69.45 |
| HellaSwag (10-Shot) | 87.72 |
| MMLU (5-Shot) | 65.28 |
| TruthfulQA (0-shot) | 67.65 |
| Winogrande (5-shot) | 81.29 |
| GSM8k (5-shot) | 24.26 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard69.450
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard87.720
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard65.280
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard67.650
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard81.290
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard24.260