| --- |
| language: |
| - da |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_13_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small Da - WasuratS |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 13 |
| type: mozilla-foundation/common_voice_13_0 |
| config: da |
| split: test |
| args: da |
| metrics: |
| - name: Wer |
| type: wer |
| value: 23.39882224190943 |
| --- |
| |
| <!-- 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 Da - WasuratS |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset on Danish language |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6393 |
| - Wer Ortho: 29.0926 |
| - Wer: 23.3988 |
|
|
| ## Model description |
|
|
| [openai/whisper-small](https://huggingface.co/openai/whisper-small) |
|
|
|
|
| ## Training and evaluation data |
|
|
| [mozilla-foundation/common_voice_13_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0) |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 50 |
| - training_steps: 4000 |
| - mixed_precision_training: Native AMP |
|
|
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
| | 0.218 | 1.61 | 500 | 0.4724 | 30.2496 | 24.7069 | |
| | 0.0628 | 3.22 | 1000 | 0.4825 | 28.8946 | 23.3154 | |
| | 0.0289 | 4.82 | 1500 | 0.5311 | 29.3376 | 23.4666 | |
| | 0.0078 | 6.43 | 2000 | 0.5740 | 29.4627 | 23.6542 | |
| | 0.0032 | 8.04 | 2500 | 0.6070 | 29.0613 | 23.2790 | |
| | 0.0025 | 9.65 | 3000 | 0.6274 | 29.1187 | 23.4770 | |
| | 0.0012 | 11.25 | 3500 | 0.6335 | 29.0978 | 23.3623 | |
| | 0.0011 | 12.86 | 4000 | 0.6393 | 29.0926 | 23.3988 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.29.2 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
