---
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2_bwgenerator
  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. -->

# gpt2_bwgenerator

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: 0.1070

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.5956        | 0.1574 | 300  | 0.1631          |
| 0.1683        | 0.3148 | 600  | 0.1376          |
| 0.1471        | 0.4722 | 900  | 0.1288          |
| 0.1364        | 0.6296 | 1200 | 0.1198          |
| 0.1302        | 0.7870 | 1500 | 0.1188          |
| 0.1262        | 0.9444 | 1800 | 0.1147          |
| 0.1233        | 1.1018 | 2100 | 0.1122          |
| 0.1208        | 1.2592 | 2400 | 0.1108          |
| 0.119         | 1.4166 | 2700 | 0.1098          |
| 0.1176        | 1.5740 | 3000 | 0.1084          |
| 0.1161        | 1.7314 | 3300 | 0.1084          |
| 0.1153        | 1.8888 | 3600 | 0.1070          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1