| --- |
| library_name: peft |
| language: |
| - en |
| license: mit |
| base_model: openai/whisper-large-v3-turbo |
| tags: |
| - wft |
| - whisper |
| - automatic-speech-recognition |
| - audio |
| - speech |
| - generated_from_trainer |
| datasets: |
| - ntnu-smil/lttc-augmented-ft-1 |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-large-v3-turbo-augmented |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: ntnu-smil/lttc-augmented-ft-1 |
| type: ntnu-smil/lttc-augmented-ft-1 |
| metrics: |
| - type: wer |
| value: 32.36001374098248 |
| 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. --> |
|
|
| # whisper-large-v3-turbo-augmented |
|
|
| This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the ntnu-smil/lttc-augmented-ft-1 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3566 |
| - Wer: 32.3600 |
| - Cer: 18.4747 |
|
|
| ## 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: 0.0005 |
| - train_batch_size: 16 |
| - 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 |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | 0.0483 | 1.0 | 190 | 1.2801 | 35.8640 | 20.7045 | |
| | 0.0503 | 2.0 | 380 | 1.3510 | 32.5318 | 20.3283 | |
| | 0.0033 | 3.0 | 570 | 1.2776 | 39.3336 | 22.9891 | |
| | 0.0007 | 4.0 | 760 | 1.3057 | 32.6692 | 18.6594 | |
| | 0.0002 | 5.0 | 950 | 1.3566 | 32.3600 | 18.4747 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.14.0 |
| - Transformers 4.47.0 |
| - Pytorch 2.2.0+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.21.0 |
