The perfect organism.
An adapter for KnutJaegersberg/Yi-34B-Llamafied. 5 epochs with NEFTune.
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. | 71.16 |
| AI2 Reasoning Challenge (25-Shot) | 64.76 |
| HellaSwag (10-Shot) | 85.57 |
| MMLU (5-Shot) | 76.28 |
| TruthfulQA (0-shot) | 56.24 |
| Winogrande (5-shot) | 82.95 |
| GSM8k (5-shot) | 61.18 |
Inference Providers
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Dataset used to train KnutJaegersberg/Deacon-34b-Adapter
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard64.760
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard85.570
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard76.280
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard56.240
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard82.950
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard61.180