Model Card for Model ID
Just testing out LLM Finetuning. Finetuned on upstage/SOLAR-10.7B-Instruct-v1.0 using argilla/distilabel-intel-orca-dpo-pairs. Followed the Google Colab mentioned in this article: https://towardsdatascience.com/fine-tune-a-mistral-7b-model-with-direct-preference-optimization-708042745aac
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 74.08 |
| AI2 Reasoning Challenge (25-Shot) | 71.25 |
| HellaSwag (10-Shot) | 88.34 |
| MMLU (5-Shot) | 66.04 |
| TruthfulQA (0-shot) | 71.36 |
| Winogrande (5-shot) | 83.19 |
| GSM8k (5-shot) | 64.29 |
- Downloads last month
- 87
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.
Model tree for dhanushreddy29/BrokenKeyboard
Base model
upstage/SOLAR-10.7B-v1.0
Finetuned
upstage/SOLAR-10.7B-Instruct-v1.0
Dataset used to train dhanushreddy29/BrokenKeyboard
Spaces using dhanushreddy29/BrokenKeyboard 5
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard71.250
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.340
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard66.040
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard71.360
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard83.190
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard64.290