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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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---
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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:
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer
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### Framework versions
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- Transformers 4.41.
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- Pytorch 2.
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- Datasets 2.19.1
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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: 0.0142
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- Wer: 6.8966
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## Model description
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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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| 0.0023 | 4.5455 | 100 | 0.0063 | 6.8966 |
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| 0.0012 | 9.0909 | 200 | 0.0135 | 6.8966 |
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| 0.0005 | 13.6364 | 300 | 0.0109 | 6.8966 |
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| 0.0008 | 18.1818 | 400 | 0.0142 | 6.8966 |
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| 0.0006 | 22.7273 | 500 | 0.0105 | 6.8966 |
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| 0.0007 | 27.2727 | 600 | 0.0157 | 6.8966 |
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| 0.0009 | 31.8182 | 700 | 0.0153 | 6.8966 |
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| 0.0003 | 36.3636 | 800 | 0.0146 | 6.8966 |
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| 0.0005 | 40.9091 | 900 | 0.0135 | 6.8966 |
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| 0.0003 | 45.4545 | 1000 | 0.0142 | 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 2.19.1
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- Tokenizers 0.19.1
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generation_config.json
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"max_length": 1024,
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"pad_token_id": 50257,
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"suppress_tokens": [],
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"transformers_version": "4.41.
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"use_cache": false
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}
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"max_length": 1024,
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"pad_token_id": 50257,
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"suppress_tokens": [],
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"transformers_version": "4.41.2",
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"use_cache": false
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}
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model.safetensors
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size 290403936
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runs/Jun02_12-06-26_5a57ccae467d/events.out.tfevents.1717330015.5a57ccae467d.177.0
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