--- license: mit base_model: izaitova/robbert-2023-dutch-large-upos tags: - generated_from_trainer datasets: - universal_dependencies model-index: - name: robbert-2023-dutch-large-upos-upos results: [] --- # robbert-2023-dutch-large-upos-upos This model is a fine-tuned version of [izaitova/robbert-2023-dutch-large-upos](https://huggingface.co/izaitova/robbert-2023-dutch-large-upos) on the universal_dependencies dataset. It achieves the following results on the evaluation set: - eval_loss: 0.3606 - eval_precision: 0.8288 - eval_recall: 0.7844 - eval_f1: 0.7968 - eval_accuracy: 0.8898 - eval_runtime: 5.7602 - eval_samples_per_second: 121.524 - eval_steps_per_second: 15.277 - step: 0 ## 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: 16 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.21.0 - Tokenizers 0.19.1