We are utilizing the mmlu_recall dataset to continuously train the Llama-2-7b-hf model, aiming to enhance performance on mmlu metrics, while ensuring that other metric performances remain unaffected.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 46.31 |
| ARC (25-shot) | 56.14 |
| HellaSwag (10-shot) | 79.13 |
| MMLU (5-shot) | 60.04 |
| TruthfulQA (0-shot) | 40.95 |
| Winogrande (5-shot) | 74.43 |
| GSM8K (5-shot) | 7.88 |
| DROP (3-shot) | 5.59 |
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