GQA_BERT_German_legal_SQuAD_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 | 2 | 5.4404 |
| No log | 2.0 | 4 | 4.4407 |
| No log | 3.0 | 6 | 3.9783 |
| No log | 4.0 | 8 | 3.6009 |
| No log | 5.0 | 10 | 3.2873 |
| No log | 6.0 | 12 | 3.0050 |
| No log | 7.0 | 14 | 2.7571 |
| No log | 8.0 | 16 | 2.5398 |
| No log | 9.0 | 18 | 2.3554 |
| No log | 10.0 | 20 | 2.2110 |
| No log | 11.0 | 22 | 2.0977 |
| No log | 12.0 | 24 | 2.0078 |
| No log | 13.0 | 26 | 1.9261 |
| No log | 14.0 | 28 | 1.8590 |
| No log | 15.0 | 30 | 1.8072 |
| No log | 16.0 | 32 | 1.7733 |
| No log | 17.0 | 34 | 1.7586 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0
