--- license: mit base_model: DTAI-KULeuven/robbert-2022-dutch-base tags: - generated_from_trainer model-index: - name: robbert-cosmetic-finetuned results: [] --- # robbert-cosmetic-finetuned This model is a fine-tuned version of [DTAI-KULeuven/robbert-2022-dutch-base](https://huggingface.co/DTAI-KULeuven/robbert-2022-dutch-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.0319 ## 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: 16 - eval_batch_size: 16 - 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 | |:-------------:|:-----:|:----:|:---------------:| | 1.3373 | 1.0 | 569 | 1.1228 | | 1.1452 | 2.0 | 1138 | 1.0415 | | 1.0976 | 3.0 | 1707 | 1.0224 | ### Framework versions - Transformers 4.42.3 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1