---
license: apache-2.0
library_name: peft
tags:
- trl
- reward-trainer
- generated_from_trainer
metrics:
- accuracy
base_model: AI-Sweden-Models/gpt-sw3-1.3b
model-index:
- name: gpt1B_reward_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gpt1B_reward_model

This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-1.3b](https://huggingface.co/AI-Sweden-Models/gpt-sw3-1.3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0078
- Accuracy: 0.9966

## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3164        | 0.17  | 20   | 0.2708          | 0.9461   |
| 0.1799        | 0.33  | 40   | 0.1111          | 0.9697   |
| 0.0577        | 0.5   | 60   | 0.0276          | 0.9899   |
| 0.0064        | 0.66  | 80   | 0.0119          | 0.9933   |
| 0.0036        | 0.83  | 100  | 0.0099          | 0.9933   |
| 0.0035        | 0.99  | 120  | 0.0078          | 0.9966   |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2