| --- |
| library_name: transformers |
| base_model: Mubarak127/waxal-whisper-large-v3-lin_asr_new-app |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: SALAMA_NEWMEDTT |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # SALAMA_NEWMEDTT |
| |
| This model is a fine-tuned version of [Mubarak127/waxal-whisper-large-v3-lin_asr_new-app](https://huggingface.co/Mubarak127/waxal-whisper-large-v3-lin_asr_new-app) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.6054 |
| - eval_wer: 54.4839 |
| - eval_runtime: 1570.5168 |
| - eval_samples_per_second: 0.555 |
| - eval_steps_per_second: 0.278 |
| - epoch: 1.1606 |
| - step: 1200 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
|
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| ## Training and evaluation data |
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| More information needed |
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|
| ## Training procedure |
|
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - 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: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
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| ### Framework versions |
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| - Transformers 5.14.1 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 5.0.1 |
| - Tokenizers 0.22.2 |
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|
