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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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+ - mozilla-foundation/common_voice_11_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper Small Ar - raghad
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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: mozilla-foundation/common_voice_11_0
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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 Small Ar - raghad
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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: 0.0195
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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: 2
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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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+ - num_epochs: 10
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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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+ | 0.0045 | 1.0 | 21 | 0.0047 | 0.0 |
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+ | 0.0015 | 2.0 | 42 | 0.0220 | 10.3448 |
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+ | 0.0012 | 3.0 | 63 | 0.0223 | 10.3448 |
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+ | 0.0006 | 4.0 | 84 | 0.0161 | 10.3448 |
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+ | 0.0004 | 5.0 | 105 | 0.0199 | 10.3448 |
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+ | 0.0003 | 6.0 | 126 | 0.0187 | 10.3448 |
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+ | 0.0002 | 7.0 | 147 | 0.0181 | 10.3448 |
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+ | 0.0003 | 8.0 | 168 | 0.0195 | 10.3448 |
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+ | 0.0002 | 9.0 | 189 | 0.0193 | 10.3448 |
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+ | 0.0002 | 10.0 | 210 | 0.0195 | 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 4.40.2
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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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+ {
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