| --- |
| language: |
| - da |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small Danish - Robust |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: mozilla-foundation/common_voice_11_0 da |
| type: mozilla-foundation/common_voice_11_0 |
| config: da |
| split: test |
| args: da |
| metrics: |
| - type: wer |
| value: 32.3250920568122 |
| name: Wer |
| - type: wer |
| value: 28.09 |
| name: WER |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Whisper Small Danish - Robust |
|
|
| 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 da dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7926 |
| - Wer: 32.3251 |
| |
| ## 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: 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.0232 | 15.15 | 1000 | 0.7538 | 35.5813 | |
| | 0.0061 | 30.3 | 2000 | 0.7933 | 34.3766 | |
| | 0.0016 | 45.45 | 3000 | 0.7993 | 33.5823 | |
| | 0.0003 | 60.61 | 4000 | 0.7986 | 31.6097 | |
| | 0.0002 | 75.76 | 5000 | 0.7901 | 32.1357 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.26.0.dev0 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.8.0 |
| - Tokenizers 0.13.2 |
|
|
