We are utilizing the mmlu_recall dataset to continuously train the Llama-2-70b-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. | 68.24 |
| AI2 Reasoning Challenge (25-Shot) | 65.61 |
| HellaSwag (10-Shot) | 87.37 |
| MMLU (5-Shot) | 71.89 |
| TruthfulQA (0-shot) | 49.15 |
| Winogrande (5-shot) | 82.40 |
| GSM8k (5-shot) | 52.99 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard65.610
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard87.370
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard71.890
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard49.150
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard82.400
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard52.990