--- library_name: transformers license: mit base_model: gerulata/slovakbert tags: - generated_from_trainer model-index: - name: lease_sk_ner_emph_bold results: [] --- # lease_sk_ner_emph_bold This model is a fine-tuned version of [gerulata/slovakbert](https://huggingface.co/gerulata/slovakbert) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0446 ## 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: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | No log | 1.0 | 1329 | 0.0258 | | 0.0467 | 2.0 | 2658 | 0.0229 | | 0.0467 | 3.0 | 3987 | 0.0215 | | 0.01 | 4.0 | 5316 | 0.0231 | | 0.0061 | 5.0 | 6645 | 0.0277 | | 0.0061 | 6.0 | 7974 | 0.0288 | | 0.0045 | 7.0 | 9303 | 0.0351 | | 0.0032 | 8.0 | 10632 | 0.0316 | | 0.0032 | 9.0 | 11961 | 0.0370 | | 0.0025 | 10.0 | 13290 | 0.0402 | | 0.0018 | 11.0 | 14619 | 0.0367 | | 0.0018 | 12.0 | 15948 | 0.0396 | | 0.0015 | 13.0 | 17277 | 0.0417 | | 0.0012 | 14.0 | 18606 | 0.0433 | | 0.0012 | 15.0 | 19935 | 0.0446 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.1 - Tokenizers 0.19.1