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Baselhany
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Graduation_Project_Whisper_tiny3

Automatic Speech Recognition
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Arabic
whisper
Generated from Trainer
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  1. README.md +27 -22
  2. model.safetensors +1 -1
  3. runs/Feb10_21-20-08_f12e54ea0648/events.out.tfevents.1739245103.f12e54ea0648.18.1 +3 -0
README.md CHANGED
@@ -20,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-ayat-speech-to-text dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0065
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- - Wer: 0.0736
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- - Cer: 0.0296
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  ## Model description
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@@ -41,7 +41,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -50,28 +50,33 @@ The following hyperparameters were used during training:
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 15
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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 | Cer |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 0.0066 | 1.0 | 125 | 0.0065 | 0.0700 | 0.0291 |
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- | 0.0051 | 2.0 | 250 | 0.0064 | 0.0681 | 0.0281 |
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- | 0.0043 | 3.0 | 375 | 0.0064 | 0.0655 | 0.0270 |
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- | 0.0045 | 4.0 | 500 | 0.0067 | 0.0664 | 0.0270 |
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- | 0.0027 | 5.0 | 625 | 0.0071 | 0.0679 | 0.0277 |
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- | 0.0017 | 6.0 | 750 | 0.0081 | 0.0691 | 0.0282 |
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- | 0.0005 | 7.0 | 875 | 0.0089 | 0.0697 | 0.0286 |
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- | 0.0004 | 8.0 | 1000 | 0.0097 | 0.0715 | 0.0282 |
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- | 0.0001 | 9.0 | 1125 | 0.0102 | 0.0690 | 0.0277 |
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- | 0.0001 | 10.0 | 1250 | 0.0105 | 0.0693 | 0.0282 |
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- | 0.0001 | 11.0 | 1375 | 0.0109 | 0.0679 | 0.0270 |
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- | 0.0 | 12.0 | 1500 | 0.0110 | 0.0686 | 0.0274 |
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- | 0.0 | 13.0 | 1625 | 0.0112 | 0.0670 | 0.0273 |
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- | 0.0 | 14.0 | 1750 | 0.0115 | 0.0752 | 0.0333 |
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- | 0.0 | 15.0 | 1875 | 0.0114 | 0.0679 | 0.0271 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-ayat-speech-to-text dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0063
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+ - Wer: 0.0715
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+ - Cer: 0.0287
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 20
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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 | Cer |
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+ |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
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+ | 0.0063 | 1.0 | 157 | 0.0063 | 0.0671 | 0.0274 |
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+ | 0.0064 | 2.0 | 314 | 0.0062 | 0.0695 | 0.0280 |
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+ | 0.005 | 3.0 | 471 | 0.0062 | 0.0673 | 0.0268 |
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+ | 0.0047 | 4.0 | 628 | 0.0063 | 0.0646 | 0.0259 |
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+ | 0.0035 | 5.0 | 785 | 0.0064 | 0.0653 | 0.0259 |
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+ | 0.0016 | 6.0 | 942 | 0.0068 | 0.0675 | 0.0264 |
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+ | 0.0028 | 7.0 | 1099 | 0.0071 | 0.0690 | 0.0276 |
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+ | 0.0022 | 8.0 | 1256 | 0.0076 | 0.0681 | 0.0266 |
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+ | 0.0016 | 9.0 | 1413 | 0.0081 | 0.0652 | 0.0262 |
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+ | 0.0014 | 10.0 | 1570 | 0.0085 | 0.0671 | 0.0261 |
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+ | 0.0007 | 11.0 | 1727 | 0.0090 | 0.0668 | 0.0274 |
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+ | 0.0006 | 12.0 | 1884 | 0.0094 | 0.0688 | 0.0363 |
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+ | 0.0004 | 13.0 | 2041 | 0.0096 | 0.0662 | 0.0350 |
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+ | 0.0002 | 14.0 | 2198 | 0.0099 | 0.0686 | 0.0353 |
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+ | 0.0003 | 15.0 | 2355 | 0.0100 | 0.0686 | 0.0355 |
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+ | 0.0002 | 16.0 | 2512 | 0.0102 | 0.0697 | 0.0363 |
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+ | 0.0001 | 17.0 | 2669 | 0.0103 | 0.0695 | 0.0360 |
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+ | 0.0001 | 18.0 | 2826 | 0.0104 | 0.0695 | 0.0363 |
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+ | 0.0001 | 19.0 | 2983 | 0.0103 | 0.0876 | 0.0458 |
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+ | 0.0001 | 19.8768 | 3120 | 0.0104 | 0.0691 | 0.0365 |
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  ### Framework versions
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