| --- |
| language: |
| - ar |
| license: mit |
| base_model: distil-whisper/distil-large-v2 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - nadsoft/Jordan-Audio |
| metrics: |
| - wer |
| model-index: |
| - name: Hamsa distill alfa |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: nadsoft/Jordan-Audio |
| type: nadsoft/Jordan-Audio |
| metrics: |
| - name: Wer |
| type: wer |
| value: 45.223367697594504 |
| --- |
| |
| <!-- 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. --> |
|
|
| # Hamsa distill alfa |
|
|
| This model is a fine-tuned version of [distil-whisper/distil-large-v2](https://huggingface.co/distil-whisper/distil-large-v2) on the nadsoft/Jordan-Audio dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9732 |
| - Wer Ortho: 47.5105 |
| - Wer: 45.2234 |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant_with_warmup |
| - lr_scheduler_warmup_steps: 50 |
| - training_steps: 8000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
| | 0.2094 | 7.04 | 2000 | 0.8198 | 48.5575 | 46.3918 | |
| | 0.0883 | 14.08 | 4000 | 0.9112 | 47.4174 | 44.6048 | |
| | 0.0662 | 21.13 | 6000 | 0.9644 | 46.8125 | 44.6277 | |
| | 0.0496 | 28.17 | 8000 | 0.9732 | 47.5105 | 45.2234 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
| |
