| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_17_0 |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-small-dar |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: mozilla-foundation/common_voice_17_0 ar |
| type: mozilla-foundation/common_voice_17_0 |
| config: ar |
| split: None |
| args: ar |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.3367421033522934 |
| --- |
| |
| <!-- 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-dar |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_17_0 ar dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1813 |
| - Wer: 0.3367 |
| |
| ## 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: 16 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - total_train_batch_size: 32 |
| - total_eval_batch_size: 32 |
| - 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: 100 |
| - training_steps: 1000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:------:| |
| | 0.303 | 0.5935 | 200 | 0.2434 | 0.4226 | |
| | 0.2 | 1.1869 | 400 | 0.2035 | 0.3914 | |
| | 0.1633 | 1.7804 | 600 | 0.1876 | 0.3469 | |
| | 0.106 | 2.3739 | 800 | 0.1850 | 0.3488 | |
| | 0.1005 | 2.9674 | 1000 | 0.1813 | 0.3367 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.48.0.dev0 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
