Fine-tuning on Intel Gaudi2
This model is a fine-tuned model based on mistralai/Mistral-7B-v0.1 on the open source dataset Open-Orca/SlimOrca. Then we align it with DPO algorithm. For more details, you can refer our blog: The Practice of Supervised Fine-tuning and Direct Preference Optimization on Intel Gaudi2.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 65.52 |
| AI2 Reasoning Challenge (25-Shot) | 66.64 |
| HellaSwag (10-Shot) | 82.12 |
| MMLU (5-Shot) | 62.37 |
| TruthfulQA (0-shot) | 60.22 |
| Winogrande (5-shot) | 79.64 |
| GSM8k (5-shot) | 42.15 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard66.640
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard82.120
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard62.370
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard60.220
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard79.640
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard42.150