Made for the purpose of comparison with the tinyllama model. 3 epochs, neftune on trilobite.
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.
### Instruction:
How do you fine tune a large language model?
### Response:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 35.02 |
| AI2 Reasoning Challenge (25-Shot) | 32.94 |
| HellaSwag (10-Shot) | 57.24 |
| MMLU (5-Shot) | 25.26 |
| TruthfulQA (0-shot) | 38.49 |
| Winogrande (5-shot) | 55.88 |
| GSM8k (5-shot) | 0.30 |
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Dataset used to train KnutJaegersberg/falcon-1b-t-sft
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard32.940
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard57.240
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard25.260
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard38.490
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard55.880
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.300