metadata
tags:
- generated_from_trainer
model-index:
- name: GWW
results: []
GWW
This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7144
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1537 | 1.0 | 50 | 3.2586 |
| 3.3257 | 2.0 | 100 | 3.0064 |
| 3.1152 | 3.0 | 150 | 2.8890 |
| 2.9988 | 4.0 | 200 | 2.8521 |
| 2.9437 | 5.0 | 250 | 2.7453 |
Framework versions
- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1