End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: tarteel-ai/whisper-base-ar-quran
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: whisper-base-ar-quran-ft-hijaiyah-2
+  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. -->
+
+# whisper-base-ar-quran-ft-hijaiyah-2
+
+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 None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4117
+- Accuracy: 0.9540
+
+## 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: 5e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- optimizer: Use 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_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.5618        | 1.0   | 1336  | 0.5533          | 0.8956   |
+| 0.5432        | 2.0   | 2672  | 0.4359          | 0.9203   |
+| 0.0009        | 3.0   | 4008  | 0.4872          | 0.9181   |
+| 0.0005        | 4.0   | 5344  | 0.3842          | 0.9360   |
+| 0.0002        | 5.0   | 6680  | 0.4643          | 0.9315   |
+| 0.0425        | 6.0   | 8016  | 0.3426          | 0.9551   |
+| 0.0001        | 7.0   | 9352  | 0.3894          | 0.9450   |
+| 0.0001        | 8.0   | 10688 | 0.4227          | 0.9461   |
+| 0.0001        | 9.0   | 12024 | 0.4511          | 0.9506   |
+| 0.0           | 10.0  | 13360 | 0.4117          | 0.9540   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

model.safetensors

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