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: 2.7239
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 |
|---|---|---|---|
| 3.9138 | 1.0 | 45 | 3.3421 |
| 3.2579 | 2.0 | 90 | 2.9786 |
| 3.0224 | 3.0 | 135 | 2.8931 |
| 2.9358 | 4.0 | 180 | 2.7741 |
| 2.9235 | 5.0 | 225 | 2.7910 |
Framework versions
- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1