We have Llama-3 at home!
Highest PHI-3-Mini MMLU and Winogrande on the board!
The model has been trained on filtered versions of tagged datasets, as well as a few thousand more examples generated with llama-3-70B.
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Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 67.72 |
| AI2 Reasoning Challenge (25-Shot) | 62.29 |
| HellaSwag (10-Shot) | 79.08 |
| MMLU (5-Shot) | 69.44 |
| TruthfulQA (0-shot) | 54.08 |
| Winogrande (5-shot) | 73.40 |
| GSM8k (5-shot) | 68.01 |
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Model tree for Ba2han/Llama-Phi-3_DoRA
Datasets used to train Ba2han/Llama-Phi-3_DoRA
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard62.290
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard79.080
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard69.440
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard54.080
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard73.400
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard68.010