---
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7840

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.6089        | 0.11  | 500   | 2.4953          |
| 2.4861        | 0.23  | 1000  | 2.3031          |
| 2.2466        | 0.34  | 1500  | 2.1884          |
| 2.1959        | 0.45  | 2000  | 2.1158          |
| 2.1861        | 0.56  | 2500  | 2.0607          |
| 2.0509        | 0.68  | 3000  | 2.0170          |
| 2.0867        | 0.79  | 3500  | 1.9839          |
| 2.0165        | 0.9   | 4000  | 1.9543          |
| 2.0106        | 1.02  | 4500  | 1.9313          |
| 1.9741        | 1.13  | 5000  | 1.9129          |
| 1.957         | 1.24  | 5500  | 1.8919          |
| 1.9226        | 1.35  | 6000  | 1.8782          |
| 1.8832        | 1.47  | 6500  | 1.8663          |
| 1.9208        | 1.58  | 7000  | 1.8515          |
| 1.9218        | 1.69  | 7500  | 1.8432          |
| 1.9362        | 1.8   | 8000  | 1.8313          |
| 1.8131        | 1.92  | 8500  | 1.8228          |
| 1.8094        | 2.03  | 9000  | 1.8154          |
| 1.8363        | 2.14  | 9500  | 1.8082          |
| 1.8634        | 2.26  | 10000 | 1.8010          |
| 1.8006        | 2.37  | 10500 | 1.7979          |
| 1.867         | 2.48  | 11000 | 1.7947          |
| 1.8712        | 2.59  | 11500 | 1.7898          |
| 1.8806        | 2.71  | 12000 | 1.7885          |
| 1.8838        | 2.82  | 12500 | 1.7856          |
| 1.8542        | 2.93  | 13000 | 1.7840          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.5.1+cu124
- Datasets 2.17.0
- Tokenizers 0.15.2