--- language: - fy license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Small Western Frisian (Netherlands) results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: mozilla-foundation/common_voice_11_0 fy-NL type: mozilla-foundation/common_voice_11_0 config: fy-NL split: test args: fy-NL metrics: - name: Wer type: wer value: 22.29686271707282 --- # Whisper Small Western Frisian (Netherlands) This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 fy-NL dataset. This is an attempt for cross lingual transfer from Dutch to Frisian, since Whisper doesn't support Frisian. It achieves the following results on the evaluation set: - Loss: 0.5443 - Wer: 22.2969 ## 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: 1e-05 - train_batch_size: 64 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 5000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.0067 | 10.01 | 1000 | 0.4810 | 23.0115 | | 0.0008 | 21.0 | 2000 | 0.5200 | 22.3576 | | 0.0004 | 31.01 | 3000 | 0.5443 | 22.2969 | | 0.0003 | 42.0 | 4000 | 0.5610 | 22.3719 | | 0.0002 | 52.01 | 5000 | 0.5674 | 22.3898 | ### Framework versions - Transformers 4.26.0.dev0 - Pytorch 1.13.0+cu117 - Datasets 2.7.1.dev0 - Tokenizers 0.13.2