transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:stefan-it/german-gpt2-larger license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: stefan-it/german-gpt2-larger
tags:
- generated_from_trainer
model-index:
- name: german-gpt2-larger-finetuned-press-release
  results: []
---

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# german-gpt2-larger-finetuned-press-release

This model is a fine-tuned version of [stefan-it/german-gpt2-larger](https://huggingface.co/stefan-it/german-gpt2-larger) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7289

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9885        | 1.0   | 501  | 1.8571          |
| 1.6605        | 2.0   | 1002 | 1.7721          |
| 1.5244        | 3.0   | 1503 | 1.7392          |
| 1.4372        | 4.0   | 2004 | 1.7275          |
| 1.39          | 5.0   | 2505 | 1.7289          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
