---
library_name: peft
tags:
- trl
- reward-trainer
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.1
metrics:
- accuracy
model-index:
- name: RewardModel
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# RewardModel

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7352
- Accuracy: 0.8753

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4869        | 1.0   | 1696 | 0.6277          | 0.88     |
| 0.1106        | 2.0   | 3392 | 0.7112          | 0.88     |
| 0.0008        | 3.0   | 5088 | 0.7352          | 0.8753   |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2