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Baselhany
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fine_tune_Whisper_tiny2

Automatic Speech Recognition
Transformers
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Safetensors
Arabic
whisper
Generated from Trainer
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  1. README.md +11 -9
  2. model.safetensors +1 -1
  3. runs/Jan21_19-13-36_f9873174cd13/events.out.tfevents.1737505219.f9873174cd13.19.1 +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: 0.0063
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- - Wer: 0.0826
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- - Cer: 0.0324
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  ## Model description
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@@ -50,18 +50,20 @@ 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: cosine
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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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- | 0.0085 | 1.0 | 274 | 0.0059 | 0.0755 | 0.0293 |
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- | 0.0067 | 2.0 | 548 | 0.0058 | 0.0789 | 0.0305 |
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- | 0.0062 | 3.0 | 822 | 0.0059 | 0.0760 | 0.0281 |
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- | 0.0033 | 4.0 | 1096 | 0.0061 | 0.0769 | 0.0293 |
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- | 0.0024 | 5.0 | 1370 | 0.0063 | 0.0746 | 0.0285 |
 
 
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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: 0.0060
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+ - Wer: 0.0802
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+ - Cer: 0.0316
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  ## Model description
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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: cosine
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 25
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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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+ | 0.0065 | 1.0 | 391 | 0.0057 | 0.0744 | 0.0290 |
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+ | 0.0054 | 2.0 | 782 | 0.0056 | 0.0733 | 0.0285 |
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+ | 0.0046 | 3.0 | 1173 | 0.0057 | 0.0782 | 0.0298 |
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+ | 0.0033 | 4.0 | 1564 | 0.0058 | 0.0746 | 0.0280 |
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+ | 0.0046 | 5.0 | 1955 | 0.0061 | 0.0726 | 0.0280 |
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+ | 0.0032 | 6.0 | 2346 | 0.0064 | 0.0726 | 0.0278 |
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+ | 0.0013 | 7.0 | 2737 | 0.0067 | 0.0740 | 0.0296 |
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  ### Framework versions
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runs/Jan21_19-13-36_f9873174cd13/events.out.tfevents.1737505219.f9873174cd13.19.1 ADDED
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