This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on GroNLP/dutch-cola, from where only the acceptable and unacceptable examples were used to fine-tune. The data used for fine-tuning therefore only contains sentences with original mark 'None' and '*'.
Accuracy: 0.8127
The following hyperparameters were used during training:
learning rate: 4e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
num_epochs: 4
Epoch | Training Loss | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.0 | 0.4971 | 1169 | 0.4629 | 0.7914 |
2.0 | 0.2478 | 2338 | 0.7041 | 0.7814 |
3.0 | 0.1333 | 3507 | 0.9777 | 0.8064 |
4.0 | 0.0687 | 4676 | 1.1322 | 0.8127 |
- Downloads last month
- 116
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.