| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - audiofolder |
| model-index: |
| - name: openai/whisper-small |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: mozilla-foundation/common_voice_11_0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: en |
| split: test |
| metrics: |
| - type: wer |
| value: 18.39 |
| name: WER |
| --- |
| |
| <!-- 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. --> |
|
|
| # openai/whisper-small |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the audiofolder dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5217 |
|
|
| ## 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: 0.001 |
| - 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: 50 |
| - training_steps: 1000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.0581 | 5.005 | 500 | 1.3403 | |
| | 0.0075 | 10.01 | 1000 | 1.5217 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.0 |
| - Transformers 4.49.0 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 3.3.2 |
| - Tokenizers 0.21.0 |
