README.md

---
license: mit
datasets:
- sms1097/self_rag_tokens_train_data
---
# Utility Model

This generates the `IsUseful` token as descirbed in Self-RAG. 

We are testing to see if an answer is useful to the given user question. We output a score from 1-5 based on how useful the answer is. 

The expected input to the model is:

```
Instruction: {instruction}\nAnswer: {answer}",
```


### Training Results
```
{'eval_loss': 0.4719298779964447, 
'eval_mse': 0.4719298183917999,
'eval_mae': 0.25655537843704224,
'eval_r2': 0.5200293292355334,
'eval_accuracy': 0.9001516683518705}
```