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---
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
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