End of training

README.md

@@ -0,0 +1,87 @@
+---
+language:
+- ar
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- ahishamm/QURANICWhisperDataset
+metrics:
+- wer
+model-index:
+- name: QURANIC Whisper Large V3 - 10000
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: QURANICWhisperDataset
+      type: ahishamm/QURANICWhisperDataset
+      args: 'config: ar, split: train'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 99.93905329450803
+---
+
+<!-- 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. -->
+
+# QURANIC Whisper Large V3 - 10000
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the QURANICWhisperDataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2528
+- Wer: 99.9391
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer      |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0907        | 2.0   | 1000  | 0.1326          | 107.4287 |
+| 0.0545        | 4.0   | 2000  | 0.1366          | 156.4231 |
+| 0.0211        | 6.0   | 3000  | 0.1515          | 245.3308 |
+| 0.0076        | 8.0   | 4000  | 0.1627          | 330.6630 |
+| 0.0031        | 10.0  | 5000  | 0.1788          | 170.7794 |
+| 0.0035        | 12.0  | 6000  | 0.1947          | 107.0630 |
+| 0.0006        | 14.0  | 7000  | 0.2107          | 98.0091  |
+| 0.0           | 16.0  | 8000  | 0.2208          | 97.8533  |
+| 0.0           | 18.0  | 9000  | 0.2426          | 99.7833  |
+| 0.0           | 20.0  | 10000 | 0.2528          | 99.9391  |
+
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.2.0
+- Datasets 2.18.0
+- Tokenizers 0.15.1

generation_config.json

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+}

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