--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly09 results: [] --- # VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly09 This model is a fine-tuned version of [outputDAQonly09/](https://huggingface.co/outputDAQonly09/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8105 - Accuracy: 0.8757 ## 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: 1e-05 - train_batch_size: 32 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 15.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 330 | 3.9924 | 0.2230 | | 4.3795 | 2.0 | 660 | 3.1812 | 0.3958 | | 4.3795 | 3.0 | 990 | 2.5904 | 0.5512 | | 3.2046 | 4.0 | 1320 | 2.1536 | 0.6408 | | 2.3683 | 5.0 | 1650 | 1.8079 | 0.7130 | | 2.3683 | 6.0 | 1980 | 1.5420 | 0.7687 | | 1.8065 | 7.0 | 2310 | 1.3434 | 0.8053 | | 1.373 | 8.0 | 2640 | 1.1882 | 0.8254 | | 1.373 | 9.0 | 2970 | 1.0700 | 0.8400 | | 1.0931 | 10.0 | 3300 | 0.9791 | 0.8510 | | 0.8714 | 11.0 | 3630 | 0.9202 | 0.8620 | | 0.8714 | 12.0 | 3960 | 0.8641 | 0.8684 | | 0.7428 | 13.0 | 4290 | 0.8372 | 0.8748 | | 0.6531 | 14.0 | 4620 | 0.8168 | 0.8766 | | 0.6531 | 15.0 | 4950 | 0.8105 | 0.8757 | ### Framework versions - Transformers 4.13.0.dev0 - Pytorch 1.10.0 - Datasets 1.16.1 - Tokenizers 0.10.3