--- library_name: transformers license: cc-by-4.0 base_model: vesteinn/DanskBERT tags: - generated_from_trainer model-index: - name: danskbert_ED3 results: [] --- # danskbert_ED3 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: 0.4172 - F1-score: 0.9180 ## 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: 5e-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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1-score | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 69 | 0.4185 | 0.8182 | | No log | 2.0 | 138 | 0.2883 | 0.8771 | | No log | 3.0 | 207 | 0.6676 | 0.8605 | | No log | 4.0 | 276 | 0.4172 | 0.9180 | | No log | 5.0 | 345 | 0.7406 | 0.8495 | | No log | 6.0 | 414 | 0.6953 | 0.8668 | | No log | 7.0 | 483 | 0.5687 | 0.9016 | | 0.2011 | 8.0 | 552 | 0.7013 | 0.8765 | | 0.2011 | 9.0 | 621 | 0.7086 | 0.8851 | | 0.2011 | 10.0 | 690 | 0.7390 | 0.8768 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.0+cu121 - Datasets 2.21.0 - Tokenizers 0.19.1