--- license: cc0-1.0 tags: - generated_from_trainer datasets: - coscan-speech2 metrics: - accuracy - f1 - precision - recall model-index: - name: wav2vec2-large-voxrex-swedish-coscan-no-region results: [] --- # wav2vec2-large-voxrex-swedish-coscan-no-region This model is a fine-tuned version of [KBLab/wav2vec2-large-voxrex-swedish](https://huggingface.co/KBLab/wav2vec2-large-voxrex-swedish) on the coscan-speech2 dataset. It achieves the following results on the evaluation set: - Loss: 1.0151 - Accuracy: 0.8773 - F1: 0.8773 - Precision: 0.8773 - Recall: 0.8773 ## 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: 3e-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 - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| | 0.1651 | 1.0 | 6468 | 0.5657 | 0.8650 | 0.8650 | 0.8650 | 0.8650 | | 0.1217 | 2.0 | 12936 | 0.9411 | 0.8487 | 0.8487 | 0.8487 | 0.8487 | | 0.0013 | 3.0 | 19404 | 0.9991 | 0.8617 | 0.8617 | 0.8617 | 0.8617 | | 0.0652 | 4.0 | 25872 | 1.0151 | 0.8773 | 0.8773 | 0.8773 | 0.8773 | | 0.0001 | 5.0 | 32340 | 1.1031 | 0.8700 | 0.8700 | 0.8700 | 0.8700 | ### Framework versions - Transformers 4.22.0.dev0 - Pytorch 1.10.1+cu102 - Datasets 2.4.1.dev0 - Tokenizers 0.12.1