| --- |
| library_name: transformers |
| language: |
| - en |
| license: apache-2.0 |
| base_model: openai/whisper-medium.en |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_17_0 |
| metrics: |
| - wer |
| model-index: |
| - name: wme_30s_Static_atWall_1.3 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 17.0 |
| type: mozilla-foundation/common_voice_17_0 |
| args: 'config: en, split: test' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 27.526025719534598 |
| --- |
| |
| <!-- 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. --> |
|
|
| # wme_30s_Static_atWall_1.3 |
|
|
| This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the Common Voice 17.0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9007 |
| - Wer: 27.5260 |
|
|
| ## 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: 4e-05 |
| - train_batch_size: 48 |
| - 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: 26 |
| - training_steps: 264 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | No log | 0 | 0 | 1.5148 | 34.2009 | |
| | 0.8009 | 0.1667 | 44 | 1.0184 | 32.0882 | |
| | 0.5762 | 0.3333 | 88 | 0.9739 | 29.8836 | |
| | 0.553 | 0.5 | 132 | 0.9501 | 32.0269 | |
| | 0.4237 | 1.0038 | 176 | 0.9252 | 29.4550 | |
| | 0.2473 | 1.1705 | 220 | 0.9069 | 30.1286 | |
| | 0.1507 | 1.3371 | 264 | 0.9007 | 27.5260 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
| |
