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OUTPUT_DIR3
AssemGamal955/OUTPUT_DIR3
OUTPUT_DIR3 is a translation model from AssemGamal955. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Translation
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025
- SHA
- 6bb300ad
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Base models
Model card
From the Hugging Face model README
<!-- 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 on the Assemgamal955/egyptian-english-translation dataset. It achieves the following results on the evaluation set:
- Loss: 1.0574
- Model Preparation Time: 0.0101
- Bleu: 17.9302
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 |
|---|---|---|---|---|---|
| 1.3837 | 1.0 | 1250 | 1.0422 | 0.0101 | 21.3456 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Translation
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ar, en
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025