finetuned-im-rahmen-der-rechtlichen-und-ethischen-bestimmungen-arbeiten
This model is a fine-tuned version of bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2919
- Accuracy: 0.8970
- F1: 0.8843
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: 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2946 | 1.0 | 1365 | 0.2791 | 0.8992 | 0.8829 |
| 0.2204 | 2.0 | 2730 | 0.2919 | 0.8970 | 0.8843 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.13.2