| --- |
| library_name: transformers |
| language: |
| - en |
| license: apache-2.0 |
| base_model: openai/whisper-tiny.en |
| tags: |
| - generated_from_trainer |
| datasets: |
| - David-Mazi/whisper-trial |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Tiny En Vox - David Mazi |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: whisper-trial |
| type: David-Mazi/whisper-trial |
| args: 'config: en, split: test' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 70.06333225073075 |
| --- |
| |
| <!-- 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 Tiny En Vox - David Mazi |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the whisper-trial dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0019 |
| - Wer: 70.0633 |
|
|
| ## 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: 16 |
| - eval_batch_size: 8 |
| - 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: 50 |
| - training_steps: 500 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.2694 | 4.0 | 100 | 0.1224 | 77.4886 | |
| | 0.0232 | 8.0 | 200 | 0.0165 | 69.1336 | |
| | 0.0035 | 12.0 | 300 | 0.0032 | 80.3548 | |
| | 0.0022 | 16.0 | 400 | 0.0021 | 68.5044 | |
| | 0.0019 | 20.0 | 500 | 0.0019 | 70.0633 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.47.1 |
| - Pytorch 2.5.1 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
| |
