Galpaca trained for 2.7 epochs on the 50k shortest records of miniorca dataset with NEFTune.
Prompt Example:
### System:
You are an AI assistant. You will be given a task. You must generate a detailed and long answer.
### User:
What is AGI?
### Assistant:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 42.23 |
| AI2 Reasoning Challenge (25-Shot) | 48.89 |
| HellaSwag (10-Shot) | 57.80 |
| MMLU (5-Shot) | 43.72 |
| TruthfulQA (0-shot) | 41.10 |
| Winogrande (5-shot) | 60.06 |
| GSM8k (5-shot) | 1.82 |
- Downloads last month
- 1,337
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train KnutJaegersberg/Galpaca-30b-MiniOrca
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard48.890
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard57.800
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard43.720
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard41.100
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard60.060
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard1.820