--- widget: - text: Felix dog i [MASK] i går. base_model: KBLab/bert-base-swedish-cased tags: - generated_from_trainer datasets: - ChangeIsKey/kubhist2 metrics: - accuracy model-index: - name: test-mlm results: - task: name: Masked Language Modeling type: fill-mask dataset: name: ChangeIsKey/kubhist2 type: ChangeIsKey/kubhist2 config: all split: train[:5%] args: all metrics: - name: Accuracy type: accuracy value: 0.49963541184895327 --- # test-mlm This model is a fine-tuned version of [KBLab/bert-base-swedish-cased](https://huggingface.co/KBLab/bert-base-swedish-cased) on the ChangeIsKey/kubhist2 dataset. It achieves the following results on the evaluation set: - Loss: 2.8883 - Accuracy: 0.4996 ## 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: 128 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 512 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results ### Framework versions - Transformers 4.33.1 - Pytorch 1.12.0 - Datasets 2.14.5 - Tokenizers 0.13.3