raghadOmar commited on
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End of training

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README.md ADDED
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+ ---
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+ language:
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+ - ar
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+ license: apache-2.0
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+ base_model: tarteel-ai/whisper-base-ar-quran
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - zolfa
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper-raghadomar
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: Zolfa Dataset
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+ type: zolfa
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+ args: 'config: ar, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 10.344827586206897
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Whisper-raghadomar
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+
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+ This model is a fine-tuned version of [tarteel-ai/whisper-base-ar-quran](https://huggingface.co/tarteel-ai/whisper-base-ar-quran) on the Zolfa Dataset dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0204
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+ - Wer: 10.3448
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 5
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+ - training_steps: 250
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.0008 | 4.7619 | 100 | 0.0067 | 6.8966 |
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+ | 0.0003 | 9.5238 | 200 | 0.0204 | 10.3448 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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