--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: VaccinChatSentenceClassifierDutch_fromBERTje results: [] --- # VaccinChatSentenceClassifierDutch_fromBERTje This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.6223 - Accuracy: 0.9068 ## 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: 8 - 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 | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 3.4666 | 1.0 | 1320 | 2.3355 | 0.5768 | | 1.5293 | 2.0 | 2640 | 1.1118 | 0.8144 | | 0.8031 | 3.0 | 3960 | 0.6362 | 0.8803 | | 0.2985 | 4.0 | 5280 | 0.5119 | 0.8958 | | 0.1284 | 5.0 | 6600 | 0.5023 | 0.8931 | | 0.0842 | 6.0 | 7920 | 0.5246 | 0.9022 | | 0.0414 | 7.0 | 9240 | 0.5581 | 0.9013 | | 0.0372 | 8.0 | 10560 | 0.5721 | 0.9004 | | 0.0292 | 9.0 | 11880 | 0.5469 | 0.9141 | | 0.0257 | 10.0 | 13200 | 0.5871 | 0.9059 | | 0.0189 | 11.0 | 14520 | 0.6181 | 0.9049 | | 0.0104 | 12.0 | 15840 | 0.6184 | 0.9068 | | 0.009 | 13.0 | 17160 | 0.6013 | 0.9049 | | 0.0051 | 14.0 | 18480 | 0.6205 | 0.9059 | | 0.0035 | 15.0 | 19800 | 0.6223 | 0.9068 | ### Framework versions - Transformers 4.13.0.dev0 - Pytorch 1.10.0 - Datasets 1.16.1 - Tokenizers 0.10.3