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raghadOmar
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whisper-base-quran

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Eval Results
Inference Endpoints
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raghadOmar commited on
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End of training

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Files changed (3) hide show
  1. README.md +16 -16
  2. model.safetensors +1 -1
  3. runs/Jun03_11-26-59_fadd691e38d1/events.out.tfevents.1717414031.fadd691e38d1.146.0 +2 -2
README.md CHANGED
@@ -2,9 +2,9 @@
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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:
@@ -13,16 +13,16 @@ model-index:
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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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- - type: wer
 
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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
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
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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
@@ -66,21 +66,21 @@ The following hyperparameters were used during training:
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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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  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
 
32
 
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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
82
 
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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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