| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: wu-kiot/whisper-small-am-fleurs |
| tags: |
| - generated_from_trainer |
| datasets: |
| - common_voice_17_0 |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-small-fc-am |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: common_voice_17_0 |
| type: common_voice_17_0 |
| config: am |
| split: None |
| args: am |
| metrics: |
| - name: Wer |
| type: wer |
| value: 62.73062730627307 |
| --- |
| |
| <!-- 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-fc-am |
|
|
| This model is a fine-tuned version of [wu-kiot/whisper-small-am-fleurs](https://huggingface.co/wu-kiot/whisper-small-am-fleurs) on the common_voice_17_0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3756 |
| - Wer: 62.7306 |
| |
| ## 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: 16 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.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: 150 |
| - num_epochs: 5 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.2866 | 1.0 | 44 | 0.2855 | 63.9958 | |
| | 0.1582 | 2.0 | 88 | 0.2958 | 64.1539 | |
| | 0.0885 | 3.0 | 132 | 0.3311 | 67.4222 | |
| | 0.0793 | 4.0 | 176 | 0.3700 | 66.4207 | |
| | 0.0375 | 5.0 | 220 | 0.3756 | 62.7306 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.49.0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
