End of training

README.md

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+---
+library_name: transformers
+language:
+- ar
+license: apache-2.0
+base_model: tarteel-ai/whisper-tiny-ar-quran
+tags:
+- generated_from_trainer
+datasets:
+- numan98/synth-incorrect-verses
+metrics:
+- wer
+model-index:
+- name: Nextayah Tiny Whisper Finetuned
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Synthetic Incorrect Verses
+      type: numan98/synth-incorrect-verses
+      config: default
+      split: None
+      args: 'split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 17.25043782837128
+---
+
+<!-- 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. -->
+
+# Nextayah Tiny Whisper Finetuned
+
+This model is a fine-tuned version of [tarteel-ai/whisper-tiny-ar-quran](https://huggingface.co/tarteel-ai/whisper-tiny-ar-quran) on the Synthetic Incorrect Verses dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0921
+- Wer: 17.2504
+
+## 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: Use OptimizerNames.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_steps: 500
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.0217        | 8.7719  | 500  | 0.1236          | 22.5044 |
+| 0.0025        | 17.5439 | 1000 | 0.1063          | 21.0158 |
+| 0.0001        | 26.3158 | 1500 | 0.0910          | 17.4256 |
+| 0.0001        | 35.0877 | 2000 | 0.0921          | 17.2504 |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "max_length": 448,
+  "pad_token_id": 50257,
+  "transformers_version": "4.48.0",
+  "use_cache": false
+}