| --- |
| library_name: transformers |
| language: |
| - dv |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_13_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small Dv - Leon Lee |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 13 |
| type: mozilla-foundation/common_voice_13_0 |
| config: dv |
| split: test |
| args: dv |
| metrics: |
| - name: Wer |
| type: wer |
| value: 9.938449768751955 |
| --- |
| |
| <!-- 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 Small Dv - Leon Lee |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4909 |
| - Wer Ortho: 53.6249 |
| - Wer: 9.9384 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 64 |
| - 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: 100 |
| - training_steps: 4000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:| |
| | 0.0162 | 6.4935 | 500 | 0.2193 | 57.3020 | 11.4285 | |
| | 0.0027 | 12.9870 | 1000 | 0.2799 | 55.4287 | 10.4983 | |
| | 0.0013 | 19.4805 | 1500 | 0.3227 | 55.2824 | 10.5105 | |
| | 0.0007 | 25.9740 | 2000 | 0.3129 | 54.6069 | 10.4149 | |
| | 0.0 | 32.4675 | 2500 | 0.3903 | 53.6249 | 9.9680 | |
| | 0.0 | 38.9610 | 3000 | 0.4478 | 53.6945 | 9.9332 | |
| | 0.0 | 45.4545 | 3500 | 0.4796 | 53.6458 | 9.9524 | |
| | 0.0 | 51.9481 | 4000 | 0.4909 | 53.6249 | 9.9384 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.48.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
