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README.md
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language:
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- ar
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license: apache-2.0
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base_model: openai/whisper-
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tags:
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- generated_from_trainer
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datasets:
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- fawzanaramam/the-amma-juz
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metrics:
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- wer
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model-index:
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- name: Whisper
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: The Truth Last Chapters
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type: fawzanaramam/the-amma-juz
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args: 'config: ar, split: train'
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metrics:
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- name: Wer
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type: wer
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value: 5.250596658711217
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper
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This model is a fine-tuned version of [openai/whisper-
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It achieves the following results on the evaluation set:
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| No log | 0.0725 | 10 | 0.8505 | 117.6611 |
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| No log | 0.1449 | 20 | 0.2837 | 43.3174 |
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| 0.7614 | 0.2174 | 30 | 0.1635 | 33.8902 |
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| 0.7614 | 0.2899 | 40 | 0.1166 | 10.7399 |
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| 0.1326 | 0.3623 | 50 | 0.0962 | 12.0525 |
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| 0.1326 | 0.4348 | 60 | 0.0759 | 8.2339 |
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| 0.1326 | 0.5072 | 70 | 0.0681 | 14.2005 |
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| 0.1009 | 0.5797 | 80 | 0.0635 | 5.7279 |
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| 0.1009 | 0.6522 | 90 | 0.0601 | 5.4893 |
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| 0.0653 | 0.7246 | 100 | 0.0584 | 5.2506 |
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### Framework versions
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- Transformers 4.41.1
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language:
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- ar
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license: apache-2.0
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base_model: openai/whisper-medium
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tags:
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- generated_from_trainer
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datasets:
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- fawzanaramam/the-amma-juz
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model-index:
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- name: Whisper Medium Finetuned on Amma Juz of Quran
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper Medium Finetuned on Amma Juz of Quran
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the The Truth Amma Juz dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0032
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- eval_wer: 0.5102
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- eval_runtime: 47.9061
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- eval_samples_per_second: 2.087
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- eval_steps_per_second: 0.271
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- epoch: 0.6653
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- step: 950
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 3.0
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.41.1
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generation_config.json
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"begin_suppress_tokens": [
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"begin_suppress_tokens": [
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model.safetensors
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