---
license: "apache-2.0"
---
*This model was trained as part of a series of experiments testing the performance of pure DPO vs SFT vs ORPO, all supported by Unsloth/Huggingface TRL.*
Note: Completely broken. Do not use.
**Benchmarks**
Average 59.52
ARC 59.47
HellaSwag 82.42
MMLU 62.21
TruthfulQA 40.01
Winogrande 78.3
GSM8K 34.72
**Training Details**
Duration: ~10-12 hours on one Kaggle T4 with Unsloth
Model: https://huggingface.co/unsloth/mistral-7b-v0.2-bnb-4bit
Dataset: https://huggingface.co/datasets/argilla/dpo-mix-7k
Rank: 8
Alpha: 16
Learning rate: 5e-6
Beta: 0.1
Batch size: 8
Epochs: 1
Learning rate scheduler: Linear
Prompt Format: ```You are a helpful assistant.[INST] PROMPT [/INST]RESPONSE``` (The start token \ must be added manually and not automatically)
**WanDB Reports**
![image/png](https://cdn-uploads.huggingface.co/production/uploads/65a5c0e82823ba72ed2cee7d/Tg3dknWsTvfqM96Fab2YJ.png)
![image/png](https://cdn-uploads.huggingface.co/production/uploads/65a5c0e82823ba72ed2cee7d/8DQ0WiypkVIJeK_Y18Wv0.png)
[](https://github.com/unslothai/unsloth)