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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
Model card Files Metrics Community
raghadOmar commited on
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End of training

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  1. README.md +17 -17
  2. model.safetensors +1 -1
  3. runs/Jun08_13-04-24_69437b16372a/events.out.tfevents.1717851880.69437b16372a.200.1 +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: 8.571428571428571
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.2371
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- - Wer: 8.5714
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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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- | 0.0671 | 0.6993 | 100 | 0.2041 | 12.8571 |
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- | 0.0247 | 1.3986 | 200 | 0.2290 | 10.4082 |
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- | 0.0071 | 2.0979 | 300 | 0.2219 | 9.7959 |
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- | 0.0102 | 2.7972 | 400 | 0.2215 | 26.9388 |
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- | 0.0046 | 3.4965 | 500 | 0.2192 | 8.5714 |
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- | 0.005 | 4.1958 | 600 | 0.2401 | 9.1837 |
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- | 0.0074 | 4.8951 | 700 | 0.2296 | 7.9592 |
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- | 0.0006 | 5.5944 | 800 | 0.2363 | 9.1837 |
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- | 0.0002 | 6.2937 | 900 | 0.2366 | 8.5714 |
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- | 0.0013 | 6.9930 | 1000 | 0.2371 | 8.5714 |
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  ### Framework versions
 
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  language:
3
  - ar
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  license: apache-2.0
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+ base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
 
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  datasets:
9
  - 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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  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: 0.2369
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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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+ | 0.0672 | 0.6993 | 100 | 0.2051 | 21.4286 |
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+ | 0.0248 | 1.3986 | 200 | 0.2284 | 17.3469 |
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+ | 0.0074 | 2.0979 | 300 | 0.2209 | 16.3265 |
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+ | 0.0153 | 2.7972 | 400 | 0.2236 | 15.3061 |
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+ | 0.0112 | 3.4965 | 500 | 0.2191 | 15.3061 |
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+ | 0.0056 | 4.1958 | 600 | 0.2410 | 15.3061 |
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+ | 0.0033 | 4.8951 | 700 | 0.2359 | 43.8776 |
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+ | 0.0003 | 5.5944 | 800 | 0.2405 | 15.3061 |
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+ | 0.0002 | 6.2937 | 900 | 0.2348 | 14.2857 |
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+ | 0.0011 | 6.9930 | 1000 | 0.2369 | 14.2857 |
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  ### Framework versions
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