Prompt Example:
### System:
You are an AI assistant. User will give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.
### User:
How do you fine tune a large language model?
### Assistant:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 56.43 |
| AI2 Reasoning Challenge (25-Shot) | 46.08 |
| HellaSwag (10-Shot) | 71.81 |
| MMLU (5-Shot) | 55.46 |
| TruthfulQA (0-shot) | 50.23 |
| Winogrande (5-shot) | 66.14 |
| GSM8k (5-shot) | 48.90 |
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Model tree for KnutJaegersberg/Deita-4b
Dataset used to train KnutJaegersberg/Deita-4b
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard46.080
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard71.810
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard55.460
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard50.230
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard66.140
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard48.900