BERT-legal-de-cased_German_legal_SQuAD_complete_augmented_17
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 160
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 17
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| No log | 1.0 | 3 | 6.2400 |
| No log | 2.0 | 6 | 6.2810 |
| No log | 3.0 | 9 | 5.7072 |
| No log | 4.0 | 12 | 5.4438 |
| No log | 5.0 | 15 | 5.2361 |
| No log | 6.0 | 18 | 4.9645 |
| No log | 7.0 | 21 | 4.7359 |
| No log | 8.0 | 24 | 4.5076 |
| No log | 9.0 | 27 | 4.3330 |
| No log | 10.0 | 30 | 4.1625 |
| No log | 11.0 | 33 | 4.0412 |
| No log | 12.0 | 36 | 3.9448 |
| No log | 13.0 | 39 | 3.8519 |
| No log | 14.0 | 42 | 3.7690 |
| No log | 15.0 | 45 | 3.7332 |
| No log | 16.0 | 48 | 3.7108 |
| No log | 17.0 | 51 | 3.7018 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0
