Model Card for Model ID
microsoft/Phi-3-medium-4k-instruct trained with ORPO trainer.
Training Details
Training Data
mlabonne/orpo-dpo-mix-40k is used for finetuning this model.
[More Information Needed]
Training Procedure
Trained with ORPO trainer, and only first 5K rows are used for finetuning (5K out of 40K).
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 26.84 |
| IFEval (0-Shot) | 40.22 |
| BBH (3-Shot) | 46.63 |
| MATH Lvl 5 (4-Shot) | 16.69 |
| GPQA (0-shot) | 7.38 |
| MuSR (0-shot) | 10.53 |
| MMLU-PRO (5-shot) | 39.60 |
- Downloads last month
- 39
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 BlackBeenie/Neos-Phi-3-14B-v0.1
Dataset used to train BlackBeenie/Neos-Phi-3-14B-v0.1
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard40.220
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard46.630
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard16.690
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.380
- acc_norm on MuSR (0-shot)Open LLM Leaderboard10.530
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard39.600