--- license: cc-by-4.0 base_model: vesteinn/DanskBERT tags: - generated_from_trainer model-index: - name: danskbert_NCST results: [] --- # danskbert_NCST This model is a fine-tuned version of [vesteinn/DanskBERT](https://huggingface.co/vesteinn/DanskBERT) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4281 - F1-score: 0.8075 ## 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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1-score | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.4689 | 1.0 | 535 | 0.4281 | 0.8075 | | 0.4053 | 2.0 | 1070 | 0.5061 | 0.7802 | | 0.3074 | 3.0 | 1605 | 0.6016 | 0.7923 | | 0.2363 | 4.0 | 2140 | 1.0487 | 0.7002 | | 0.1671 | 5.0 | 2675 | 0.9357 | 0.7901 | | 0.1311 | 6.0 | 3210 | 1.1869 | 0.7854 | | 0.0909 | 7.0 | 3745 | 1.6172 | 0.7585 | | 0.0665 | 8.0 | 4280 | 1.4884 | 0.7743 | | 0.0517 | 9.0 | 4815 | 1.7031 | 0.7608 | | 0.039 | 10.0 | 5350 | 1.6078 | 0.7743 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1