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raghadOmar
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whisper-base-quran

Automatic Speech Recognition
Transformers
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Arabic
whisper
Generated from Trainer
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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 +18 -10
  2. model.safetensors +1 -1
  3. runs/May19_21-55-32_6e4ccabe3e6a/events.out.tfevents.1716155750.6e4ccabe3e6a.730.0 +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: 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
@@ -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: 0.0205
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  - Wer: 10.3448
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  ## Model description
@@ -59,15 +59,23 @@ The following hyperparameters were used during training:
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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: 250
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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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- | 0.0008 | 4.7619 | 100 | 0.0066 | 6.8966 |
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- | 0.0003 | 9.5238 | 200 | 0.0205 | 10.3448 |
 
 
 
 
 
 
 
 
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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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