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raghadOmar
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whisper-small-ar

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 +18 -18
  2. model.safetensors +1 -1
  3. runs/Jun08_17-57-16_8bddf0e88f5c/events.out.tfevents.1717869443.8bddf0e88f5c.964.0 +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: openai/whisper-small
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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: Zolfa-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: 46.42857142857143
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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
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # Zolfa-raghadomar
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Zolfa Dataset dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6824
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- - Wer: 46.4286
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  ## Model description
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@@ -66,16 +66,16 @@ 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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- | 0.041 | 0.6711 | 100 | 0.5255 | 46.4286 |
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- | 0.018 | 1.3423 | 200 | 0.5604 | 46.4286 |
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- | 0.0166 | 2.0134 | 300 | 0.5781 | 46.4286 |
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- | 0.0071 | 2.6846 | 400 | 0.6184 | 46.4286 |
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- | 0.0043 | 3.3557 | 500 | 0.6433 | 46.4286 |
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- | 0.0024 | 4.0268 | 600 | 0.6825 | 46.4286 |
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- | 0.0005 | 4.6980 | 700 | 0.6668 | 46.4286 |
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- | 0.0019 | 5.3691 | 800 | 0.6726 | 42.8571 |
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- | 0.0005 | 6.0403 | 900 | 0.6859 | 46.4286 |
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- | 0.0002 | 6.7114 | 1000 | 0.6824 | 46.4286 |
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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: Zolfa-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: 14.285714285714285
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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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  # Zolfa-raghadomar
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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: 0.2374
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+ - Wer: 14.2857
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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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+ | 0.0669 | 0.6993 | 100 | 0.2045 | 21.4286 |
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+ | 0.024 | 1.3986 | 200 | 0.2314 | 17.3469 |
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+ | 0.0085 | 2.0979 | 300 | 0.2133 | 16.3265 |
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+ | 0.0085 | 2.7972 | 400 | 0.2120 | 14.2857 |
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+ | 0.0052 | 3.4965 | 500 | 0.2225 | 14.2857 |
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+ | 0.0036 | 4.1958 | 600 | 0.2354 | 14.2857 |
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+ | 0.0016 | 4.8951 | 700 | 0.2322 | 14.2857 |
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+ | 0.0002 | 5.5944 | 800 | 0.2373 | 14.2857 |
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+ | 0.0003 | 6.2937 | 900 | 0.2372 | 14.2857 |
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+ | 0.0012 | 6.9930 | 1000 | 0.2374 | 14.2857 |
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  ### Framework versions
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