
<!-- 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. -->

# gpt-2-spiritualtest-1

This model is a fine-tuned version of [Aharneish/gpt2-spiritual](https://huggingface.co/Aharneish/gpt2-spiritual) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4340

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9989        | 0.26  | 500  | 1.5329          |
| 1.6426        | 0.53  | 1000 | 1.1962          |
| 1.4637        | 0.79  | 1500 | 0.9494          |
| 1.2908        | 1.06  | 2000 | 0.7930          |
| 1.0382        | 1.32  | 2500 | 0.6957          |
| 0.9785        | 1.59  | 3000 | 0.6044          |
| 0.9246        | 1.85  | 3500 | 0.5384          |
| 0.7572        | 2.12  | 4000 | 0.5502          |
| 0.7632        | 2.38  | 4500 | 0.5121          |
| 0.7364        | 2.65  | 5000 | 0.4723          |
| 0.7012        | 2.91  | 5500 | 0.4340          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "Aharneish/gpt2-spiritual", "model-index": [{"name": "gpt-2-spiritualtest-1", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer base_model:Aharneish/gpt2-spiritual license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us