Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: quran-whisper-ar-tiny-1
+  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. -->
+
+# quran-whisper-ar-tiny-1
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5858
+- Wer: 164.8352
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 45
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 2.2643        | 0.3333 | 5    | 4.2666          | 209.8901 |
+| 3.5798        | 0.6667 | 10   | 1.9318          | 173.6264 |
+| 1.2993        | 1.0    | 15   | 1.0968          | 102.1978 |
+| 0.8612        | 0.6667 | 20   | 0.9798          | 145.0549 |
+| 0.7235        | 0.8333 | 25   | 0.7984          | 131.8681 |
+| 0.5694        | 1.0    | 30   | 0.7010          | 127.4725 |
+| 0.5781        | 0.7778 | 35   | 0.7017          | 378.0220 |
+| 0.5704        | 0.8889 | 40   | 0.6511          | 341.7582 |
+| 0.4247        | 1.0    | 45   | 0.5858          | 164.8352 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

generation_config.json

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+}

model.safetensors

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