bert-base-dutch-cased-finetuned-gem
This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on an unkown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8767
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7518 | 1.0 | 2133 | 1.8428 |
| 1.5679 | 2.0 | 4266 | 1.8729 |
| 1.3332 | 3.0 | 6399 | 1.8767 |
Framework versions
- Transformers 4.8.2
- Pytorch 1.9.0+cu102
- Datasets 1.9.0
- Tokenizers 0.10.3