| --- |
| library_name: transformers |
| language: |
| - ar |
| - en |
| license: apache-2.0 |
| base_model: openai/whisper-medium |
| tags: |
| - whisper |
| - egyptian-arabic |
| - translation |
| - code-switching |
| - generated_from_trainer |
| datasets: |
| - Assemgamal955/egyptian-english-translation |
| metrics: |
| - bleu |
| model-index: |
| - name: Whisper Medium Egyptian Arabic --> english Translation |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Assemgamal955/egyptian-english-translation |
| type: Assemgamal955/egyptian-english-translation |
| metrics: |
| - name: Bleu |
| type: bleu |
| value: 9.483870965065593 |
| --- |
| |
| <!-- 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 Egyptian Arabic --> english Translation |
|
|
| This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Assemgamal955/egyptian-english-translation dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9538 |
| - Model Preparation Time: 0.0096 |
| - Bleu: 9.4839 |
|
|
| ## 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: 7e-06 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - 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: cosine |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 1 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Bleu | |
| |:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:| |
| | 0.9989 | 1.0 | 1563 | 0.9642 | 0.0096 | 7.6351 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.53.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.2 |
|
|
