| --- |
| language: |
| - ar |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Medium Arabic |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: mozilla-foundation/common_voice_11_0 ar |
| type: mozilla-foundation/common_voice_11_0 |
| config: ar |
| split: test |
| args: ar |
| metrics: |
| - name: Wer |
| type: wer |
| value: 47.53066666666667 |
| --- |
| |
| <!-- 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 Medium Arabic |
|
|
| This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 ar dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4218 |
| - Wer: 47.5307 |
| |
| ## 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: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 10000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:| |
| | 0.2215 | 0.1 | 1000 | 0.3361 | 49.9307 | |
| | 0.1134 | 1.07 | 2000 | 0.3290 | 56.76 | |
| | 0.0765 | 2.04 | 3000 | 0.3400 | 54.3947 | |
| | 0.0417 | 3.01 | 4000 | 0.3599 | 52.5320 | |
| | 0.0364 | 3.11 | 5000 | 0.3740 | 55.5653 | |
| | 0.0094 | 4.08 | 6000 | 0.4152 | 56.4307 | |
| | 0.0077 | 5.05 | 7000 | 0.4218 | 47.5307 | |
| | 0.0018 | 6.02 | 8000 | 0.4556 | 50.0493 | |
| | 0.0012 | 6.12 | 9000 | 0.4760 | 54.8147 | |
| | 0.0009 | 7.09 | 10000 | 0.4711 | 48.7533 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.28.0.dev0 |
| - Pytorch 2.0.0+cu117 |
| - Datasets 2.11.1.dev0 |
| - Tokenizers 0.13.2 |
|
|
