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: 10.344827586206897
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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: 10.3448
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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: 5
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch
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### Framework versions
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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: 10.344827586206897
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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: 0.0293
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- Wer: 10.3448
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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: 5
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- training_steps: 1000
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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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| 0.0006 | 4.7619 | 100 | 0.0060 | 6.8966 |
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| 0.0004 | 9.5238 | 200 | 0.0233 | 10.3448 |
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| 0.0004 | 14.2857 | 300 | 0.0199 | 10.3448 |
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| 0.0002 | 19.0476 | 400 | 0.0309 | 10.3448 |
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| 0.0004 | 23.8095 | 500 | 0.0253 | 10.3448 |
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| 0.0002 | 28.5714 | 600 | 0.0284 | 10.3448 |
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| 0.0002 | 33.3333 | 700 | 0.0275 | 10.3448 |
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| 0.0002 | 38.0952 | 800 | 0.0301 | 10.3448 |
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| 0.0001 | 42.8571 | 900 | 0.0286 | 10.3448 |
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| 0.0001 | 47.6190 | 1000 | 0.0293 | 10.3448 |
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### Framework versions
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model.safetensors
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runs/May19_21-55-32_6e4ccabe3e6a/events.out.tfevents.1716155750.6e4ccabe3e6a.730.0
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