--- tags: - generated_from_trainer model-index: - name: GWW results: [] --- # GWW This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.0329 ## 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: 3.0 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 4.0394 | 1.0 | 39 | 3.3464 | | 3.3619 | 2.0 | 78 | 3.1232 | | 3.1899 | 3.0 | 117 | 3.0911 | ### Framework versions - Transformers 4.19.3 - Pytorch 1.11.0+cu113 - Datasets 2.2.2 - Tokenizers 0.12.1