| --- |
| 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-rebalanced-1-split |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-large-v3-turbo-score-5-rebalanced-1 |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: ntnu-smil/lttc-rebalanced-1-split |
| type: ntnu-smil/lttc-rebalanced-1-split |
| metrics: |
| - type: wer |
| value: 39.732142857142854 |
| 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-score-5-rebalanced-1 |
|
|
| 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-rebalanced-1-split dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.9922 |
| - Wer: 39.7321 |
| - Cer: 25.9187 |
|
|
| ## 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: 4 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | 0.0378 | 1.0 | 18 | 3.6518 | 40.3159 | 26.1279 | |
| | 0.0389 | 2.0 | 36 | 3.8285 | 40.0412 | 26.6444 | |
| | 0.0023 | 3.0 | 54 | 4.0319 | 40.4876 | 26.5529 | |
| | 0.0021 | 4.0 | 72 | 3.9976 | 39.3544 | 25.5656 | |
| | 0.0004 | 5.0 | 90 | 3.9922 | 39.7321 | 25.9187 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.13.2 |
| - Transformers 4.46.3 |
| - Pytorch 2.2.0+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
