german-gpt2-larger-finetuned-press-release
This model is a fine-tuned version of 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
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Base model
stefan-it/german-gpt2-larger