--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog results: [] --- # VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog This model is a fine-tuned version of [outputDA/checkpoint-7710](https://huggingface.co/outputDA/checkpoint-7710) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5025 - Accuracy: 0.9077 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06 - lr_scheduler_type: linear - num_epochs: 15.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 3.9925 | 1.0 | 1320 | 3.0954 | 0.4223 | | 2.5041 | 2.0 | 2640 | 1.9762 | 0.6563 | | 1.8061 | 3.0 | 3960 | 1.3196 | 0.7952 | | 1.0694 | 4.0 | 5280 | 0.9304 | 0.8510 | | 0.6479 | 5.0 | 6600 | 0.6875 | 0.8821 | | 0.4408 | 6.0 | 7920 | 0.5692 | 0.8976 | | 0.2542 | 7.0 | 9240 | 0.5291 | 0.8949 | | 0.1709 | 8.0 | 10560 | 0.5038 | 0.9059 | | 0.1181 | 9.0 | 11880 | 0.4885 | 0.9049 | | 0.0878 | 10.0 | 13200 | 0.4900 | 0.9049 | | 0.0702 | 11.0 | 14520 | 0.4930 | 0.9086 | | 0.0528 | 12.0 | 15840 | 0.4987 | 0.9113 | | 0.0406 | 13.0 | 17160 | 0.5009 | 0.9113 | | 0.0321 | 14.0 | 18480 | 0.5017 | 0.9104 | | 0.0308 | 15.0 | 19800 | 0.5025 | 0.9077 | ### Framework versions - Transformers 4.13.0.dev0 - Pytorch 1.10.0 - Datasets 1.16.1 - Tokenizers 0.10.3