---
license: mit
tags:
- generated_from_trainer
model-index:
- name: german-poetry-gpt2-large
  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. -->

# german-poetry-gpt2-large

This model is a fine-tuned version of [benjamin/gerpt2-large](https://huggingface.co/benjamin/gerpt2-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1467

## 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: 500
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 3.6511        | 1.0   | 20592  | 3.6164          |
| 3.2974        | 2.0   | 41184  | 3.5282          |
| 2.9307        | 3.0   | 61776  | 3.5443          |
| 2.6412        | 4.0   | 82368  | 3.6337          |
| 2.275         | 5.0   | 102960 | 3.7956          |
| 2.0971        | 6.0   | 123552 | 3.8927          |
| 1.8885        | 7.0   | 144144 | 4.0685          |
| 1.775         | 8.0   | 164736 | 4.1467          |


### Framework versions

- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Tokenizers 0.12.1