---
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_model2
  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_model2

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: 0.0000
- Accuracy: 1.0

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0           | 0.11  | 200  | 0.0124          | 0.9930   |
| 0.0002        | 0.22  | 400  | 0.0034          | 0.9965   |
| 0.0           | 0.33  | 600  | 0.0003          | 1.0      |
| 0.0           | 0.44  | 800  | 0.0003          | 1.0      |
| 0.0           | 0.55  | 1000 | 0.0003          | 1.0      |
| 0.0           | 0.65  | 1200 | 0.0004          | 1.0      |
| 0.0           | 0.76  | 1400 | 0.0000          | 1.0      |
| 0.0           | 0.87  | 1600 | 0.0000          | 1.0      |
| 0.0           | 0.98  | 1800 | 0.0000          | 1.0      |
| 0.0           | 1.09  | 2000 | 0.0000          | 1.0      |
| 0.0           | 1.2   | 2200 | 0.0000          | 1.0      |
| 0.0001        | 1.31  | 2400 | 0.0000          | 1.0      |
| 0.0           | 1.42  | 2600 | 0.0000          | 1.0      |
| 0.0           | 1.53  | 2800 | 0.0000          | 1.0      |
| 0.0           | 1.64  | 3000 | 0.0000          | 1.0      |
| 0.0           | 1.75  | 3200 | 0.0000          | 1.0      |
| 0.0           | 1.85  | 3400 | 0.0000          | 1.0      |
| 0.0           | 1.96  | 3600 | 0.0000          | 1.0      |


### Framework versions

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