GQA_BERT7
This model was trained from scratch on the germanquad dataset. It achieves the following results on the evaluation set:
- Loss: 4.0355
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: 40
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 288 | 5.4229 |
| 4.5272 | 2.0 | 576 | 4.2288 |
| 4.5272 | 3.0 | 864 | 3.9695 |
| 3.5782 | 4.0 | 1152 | 4.0760 |
| 3.5782 | 5.0 | 1440 | 3.7674 |
| 3.0376 | 6.0 | 1728 | 3.9112 |
| 2.7057 | 7.0 | 2016 | 4.0355 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0
- Downloads last month
- 1