| --- |
| language: |
| - nl |
| license: apache-2.0 |
| tags: |
| - hf-asr-leaderboard |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: FIFA_WC22_WINNER_LANGUAGE_MODEL |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 11.0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: 'null' |
| split: None |
| args: 'config: nl, split: test' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 13.5797 |
| --- |
| |
|
|
| # whisper-lt-finetune |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2550 |
| - Wer: 13.5797 |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 250 |
| - training_steps: 5000 |
| - mixed_precision_training: Native AMP |
| ### Training results |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.1556 | 0.97 | 1000 | 0.2354 | 15.2781 | |
| | 0.0709 | 1.95 | 2000 | 0.2336 | 14.6419 | |
| | 0.0259 | 2.92 | 3000 | 0.2415 | 14.0186 | |
| | 0.0098 | 3.89 | 4000 | 0.2496 | 13.7355 | |
| | 0.0056 | 4.87 | 5000 | 0.2550 | 13.5797 | |
| |
| ### Framework versions |
| - Transformers 4.26.0.dev0 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.7.1 |
| - Tokenizers 0.13.2 |
| |
