| --- |
| 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: whisper-medium-en-cv-6.2 |
| 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: 31.659522351500307 |
| --- |
| |
| <!-- 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-medium-en-cv-6.2 |
|
|
| 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: 1.1366 |
| - Wer: 31.6595 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 48 |
| - eval_batch_size: 4 |
| - 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: 750 |
| - training_steps: 7500 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | No log | 0 | 0 | 2.4185 | 46.5401 | |
| | 0.6822 | 0.1 | 750 | 0.9972 | 36.9871 | |
| | 0.2058 | 1.1 | 1500 | 1.0039 | 48.4997 | |
| | 0.0635 | 2.1 | 2250 | 1.0966 | 42.9884 | |
| | 0.0275 | 3.1 | 3000 | 1.1136 | 35.3950 | |
| | 0.0149 | 4.1 | 3750 | 1.1359 | 33.1598 | |
| | 0.0075 | 5.1 | 4500 | 1.1148 | 37.3546 | |
| | 0.0043 | 6.1 | 5250 | 1.1232 | 33.9865 | |
| | 0.0008 | 7.1 | 6000 | 1.1331 | 35.3644 | |
| | 0.0005 | 8.1 | 6750 | 1.1354 | 31.4452 | |
| | 0.0004 | 9.1 | 7500 | 1.1366 | 31.6595 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.1 |
| - Tokenizers 0.21.1 |
| |
