---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: openchatgpt-neo-r1
  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. -->

# openchatgpt-neo-r1

This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on the openchatgpt safe-r1 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2156
- Accuracy: 0.8338

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 4.9203        | 1.0   | 1378 | 5.1668          | 0.7274   |
| 4.1368        | 2.0   | 2756 | 4.3841          | 0.7563   |
| 3.4554        | 3.0   | 4134 | 3.8068          | 0.7875   |
| 2.7598        | 4.0   | 5512 | 3.3097          | 0.8303   |
| 2.5879        | 5.0   | 6890 | 3.2156          | 0.8338   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2