--- license: cc-by-4.0 base_model: vesteinn/DanskBERT tags: - generated_from_trainer model-index: - name: danskbert_NC results: [] --- # danskbert_NC 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: 0.2840 - F1-score: 0.9059 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 40 | 0.4096 | 0.7540 | | No log | 2.0 | 80 | 0.3319 | 0.8725 | | No log | 3.0 | 120 | 0.2840 | 0.9059 | | No log | 4.0 | 160 | 0.3596 | 0.8825 | | No log | 5.0 | 200 | 0.3770 | 0.8660 | | No log | 6.0 | 240 | 0.3415 | 0.8923 | | No log | 7.0 | 280 | 0.3858 | 0.8991 | | No log | 8.0 | 320 | 0.4248 | 0.8856 | | No log | 9.0 | 360 | 0.4699 | 0.8790 | | No log | 10.0 | 400 | 0.4744 | 0.8856 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1