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raghadOmar
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whisper-quran

Automatic Speech Recognition
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Arabic
whisper
Generated from Trainer
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End of training

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  1. README.md +33 -18
  2. model.safetensors +1 -1
  3. runs/May15_17-04-55_d0b109c9e3e6/events.out.tfevents.1715792707.d0b109c9e3e6.328.1 +2 -2
README.md CHANGED
@@ -6,18 +6,18 @@ 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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- - mozilla-foundation/common_voice_11_0
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  metrics:
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  - wer
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  model-index:
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- - name: raghaddd
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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: mozilla-foundation/common_voice_11_0
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  args: 'config: ar, split: test'
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  metrics:
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  - name: Wer
@@ -28,11 +28,11 @@ model-index:
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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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  should probably proofread and complete it, then remove this comment. -->
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- # raghaddd
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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: 0.0160
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  - Wer: 10.3448
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  ## Model description
@@ -58,23 +58,38 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 10
 
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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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- | 0.382 | 1.0 | 21 | 0.0234 | 6.8966 |
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- | 0.0151 | 2.0 | 42 | 0.0056 | 0.0 |
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- | 0.0033 | 3.0 | 63 | 0.0066 | 0.0 |
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- | 0.0014 | 4.0 | 84 | 0.0112 | 10.3448 |
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- | 0.001 | 5.0 | 105 | 0.0113 | 3.4483 |
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- | 0.0005 | 6.0 | 126 | 0.0141 | 3.4483 |
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- | 0.0004 | 7.0 | 147 | 0.0140 | 10.3448 |
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- | 0.0005 | 8.0 | 168 | 0.0165 | 10.3448 |
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- | 0.0003 | 9.0 | 189 | 0.0145 | 10.3448 |
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- | 0.0003 | 10.0 | 210 | 0.0160 | 10.3448 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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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  - wer
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  model-index:
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+ - name: Whisper Small Ar - 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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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Whisper Small Ar - 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: 0.0325
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  - Wer: 10.3448
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  ## Model description
 
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  - seed: 42
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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: 500
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+ - training_steps: 500
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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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+ | 0.0002 | 1.0 | 21 | 0.0317 | 10.3448 |
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+ | 0.0002 | 2.0 | 42 | 0.0287 | 10.3448 |
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+ | 0.0001 | 3.0 | 63 | 0.0293 | 10.3448 |
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+ | 0.0002 | 4.0 | 84 | 0.0298 | 10.3448 |
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+ | 0.0002 | 5.0 | 105 | 0.0281 | 10.3448 |
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+ | 0.0002 | 6.0 | 126 | 0.0308 | 10.3448 |
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+ | 0.0002 | 7.0 | 147 | 0.0262 | 10.3448 |
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+ | 0.0008 | 8.0 | 168 | 0.0341 | 10.3448 |
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+ | 0.0002 | 9.0 | 189 | 0.0223 | 3.4483 |
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+ | 0.0003 | 10.0 | 210 | 0.0411 | 10.3448 |
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+ | 0.0002 | 11.0 | 231 | 0.0357 | 10.3448 |
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+ | 0.0003 | 12.0 | 252 | 0.0349 | 10.3448 |
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+ | 0.0001 | 13.0 | 273 | 0.0429 | 10.3448 |
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+ | 0.0003 | 14.0 | 294 | 0.0311 | 10.3448 |
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+ | 0.0003 | 15.0 | 315 | 0.0372 | 10.3448 |
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+ | 0.0002 | 16.0 | 336 | 0.0329 | 10.3448 |
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+ | 0.0002 | 17.0 | 357 | 0.0390 | 10.3448 |
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+ | 0.0004 | 18.0 | 378 | 0.0333 | 10.3448 |
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+ | 0.0002 | 19.0 | 399 | 0.0450 | 10.3448 |
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+ | 0.0003 | 20.0 | 420 | 0.0384 | 10.3448 |
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+ | 0.0002 | 21.0 | 441 | 0.0366 | 10.3448 |
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+ | 0.0002 | 22.0 | 462 | 0.0360 | 10.3448 |
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+ | 0.0001 | 23.0 | 483 | 0.0441 | 10.3448 |
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+ | 0.0006 | 23.8095 | 500 | 0.0325 | 10.3448 |
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  ### Framework versions
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