| license: mit | |
| base_model: DTAI-KULeuven/robbert-2023-dutch-base | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - f1 | |
| - precision | |
| - recall | |
| model-index: | |
| - name: robbert | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # robbert | |
| This model is a fine-tuned version of [DTAI-KULeuven/robbert-2023-dutch-base](https://huggingface.co/DTAI-KULeuven/robbert-2023-dutch-base) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0620 | |
| - Accuracy: 0.9882 | |
| - F1: 0.9155 | |
| - Precision: 0.9210 | |
| - Recall: 0.9120 | |
| ## 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: 5e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| | |
| | 0.0654 | 1.0 | 9646 | 0.1077 | 0.9787 | 0.7670 | 0.7751 | 0.8183 | | |
| | 0.0388 | 2.0 | 19292 | 0.0790 | 0.9824 | 0.8955 | 0.9045 | 0.8910 | | |
| | 0.0227 | 3.0 | 28938 | 0.0620 | 0.9882 | 0.9155 | 0.9210 | 0.9120 | | |
| ### Framework versions | |
| - Transformers 4.43.4 | |
| - Pytorch 2.2.0+cu121 | |
| - Datasets 2.17.1 | |
| - Tokenizers 0.19.1 | |