| --- |
| library_name: transformers |
| language: |
| - id |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small Id - Tiny - Test |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 11.0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: id |
| split: None |
| args: 'config: id, split: test' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 58.26771653543307 |
| --- |
| |
| <!-- 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 Id - Tiny - Test |
|
|
| 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: 1.2371 |
| - Wer: 58.2677 |
|
|
| ## 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: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 2 |
| - training_steps: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 1.8373 | 0.0625 | 1 | 1.6351 | 93.3071 | |
| | 1.7614 | 0.125 | 2 | 1.5526 | 90.9449 | |
| | 1.5333 | 0.1875 | 3 | 1.4336 | 59.4488 | |
| | 1.5874 | 0.25 | 4 | 1.3667 | 59.4488 | |
| | 1.4808 | 0.3125 | 5 | 1.3238 | 58.2677 | |
| | 1.5046 | 0.375 | 6 | 1.2933 | 56.6929 | |
| | 1.3783 | 0.4375 | 7 | 1.2704 | 57.4803 | |
| | 1.3692 | 0.5 | 8 | 1.2536 | 57.0866 | |
| | 1.3708 | 0.5625 | 9 | 1.2426 | 57.0866 | |
| | 1.3299 | 0.625 | 10 | 1.2371 | 58.2677 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.3 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
| |
