End of training

README.md

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+---
+library_name: transformers
+base_model: whisper-base-ar-quran
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: whisper-base-ar-quran-ft-hijaiyah
+  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
+
+This model is a fine-tuned version of [whisper-base-ar-quran](https://huggingface.co/whisper-base-ar-quran) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1638
+- Accuracy: 0.9802
+
+## 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: 2
+- eval_batch_size: 2
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3043        | 1.0   | 2266  | 0.7745          | 0.8075   |
+| 0.9065        | 2.0   | 4532  | 0.7729          | 0.8671   |
+| 0.7332        | 3.0   | 6798  | 0.6099          | 0.9028   |
+| 0.2412        | 4.0   | 9064  | 0.4158          | 0.9345   |
+| 0.6118        | 5.0   | 11330 | 0.4587          | 0.9385   |
+| 0.0001        | 6.0   | 13596 | 0.2835          | 0.9603   |
+| 0.0003        | 7.0   | 15862 | 0.2181          | 0.9643   |
+| 0.0001        | 8.0   | 18128 | 0.2006          | 0.9683   |
+| 0.0001        | 9.0   | 20394 | 0.1962          | 0.9722   |
+| 0.0           | 10.0  | 22660 | 0.1638          | 0.9802   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

runs/Dec01_23-36-22_5c12ed67cd21/events.out.tfevents.1733096190.5c12ed67cd21.910.0

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