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End of training
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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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tags:
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- generated_from_trainer
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base_model: tarteel-ai/whisper-base-ar-quran
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datasets:
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- zolfa
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metrics:
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- name: Whisper-raghadomar
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results:
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- task:
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type: automatic-speech-recognition
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name: Automatic Speech Recognition
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dataset:
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name: Zolfa Dataset
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type: zolfa
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args: 'config: ar, split: test'
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metrics:
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value: 6.896551724137931
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name: Wer
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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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This model is a fine-tuned version of [tarteel-ai/whisper-base-ar-quran](https://huggingface.co/tarteel-ai/whisper-base-ar-quran) on the Zolfa Dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 6.8966
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.
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- Tokenizers 0.19.1
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language:
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- ar
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license: apache-2.0
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base_model: tarteel-ai/whisper-base-ar-quran
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tags:
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- generated_from_trainer
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datasets:
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- zolfa
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metrics:
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- name: Whisper-raghadomar
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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: Zolfa Dataset
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type: zolfa
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args: 'config: ar, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 6.896551724137931
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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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This model is a fine-tuned version of [tarteel-ai/whisper-base-ar-quran](https://huggingface.co/tarteel-ai/whisper-base-ar-quran) on the Zolfa Dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0196
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- Wer: 6.8966
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-------:|:----:|:---------------:|:------:|
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| 0.0084 | 2.8571 | 100 | 0.0224 | 6.8966 |
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| 0.0017 | 5.7143 | 200 | 0.0177 | 6.8966 |
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| 0.0004 | 8.5714 | 300 | 0.0161 | 6.8966 |
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| 0.0001 | 11.4286 | 400 | 0.0187 | 6.8966 |
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| 0.0003 | 14.2857 | 500 | 0.0171 | 6.8966 |
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| 0.0001 | 17.1429 | 600 | 0.0200 | 6.8966 |
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| 0.0001 | 20.0 | 700 | 0.0169 | 6.8966 |
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| 0.0002 | 22.8571 | 800 | 0.0187 | 6.8966 |
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| 0.0002 | 25.7143 | 900 | 0.0186 | 6.8966 |
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| 0.0001 | 28.5714 | 1000 | 0.0196 | 6.8966 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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model.safetensors
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runs/Jun03_11-26-59_fadd691e38d1/events.out.tfevents.1717414031.fadd691e38d1.146.0
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