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Baselhany
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Whisper_tiny_with_all_sample_few_epochs

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Inference Endpoints
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  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Feb10_06-33-15_722156180abf/events.out.tfevents.1739169198.722156180abf.18.0 +2 -2
  4. runs/Feb10_06-33-15_722156180abf/events.out.tfevents.1739198186.722156180abf.18.1 +3 -0
README.md CHANGED
@@ -21,8 +21,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-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: 0.0027
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- - Wer: 0.0376
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- - Cer: 0.0159
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  ## Model description
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@@ -57,17 +57,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | 0.0001 | 0.0863 | 250 | 0.0024 | 0.0356 | 0.0153 |
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- | 0.0 | 0.1726 | 500 | 0.0024 | 0.0381 | 0.0178 |
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- | 0.0 | 0.2589 | 750 | 0.0024 | 0.0359 | 0.0148 |
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- | 0.0 | 0.3452 | 1000 | 0.0024 | 0.0357 | 0.0148 |
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- | 0.0 | 0.4314 | 1250 | 0.0024 | 0.0635 | 0.0245 |
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- | 0.0 | 0.5177 | 1500 | 0.0024 | 0.0638 | 0.0245 |
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- | 0.0001 | 0.6040 | 1750 | 0.0024 | 0.0620 | 0.0236 |
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- | 0.0002 | 0.6903 | 2000 | 0.0024 | 0.0626 | 0.0239 |
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- | 0.0002 | 0.7766 | 2250 | 0.0024 | 0.0623 | 0.0236 |
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- | 0.0004 | 0.8629 | 2500 | 0.0024 | 0.0623 | 0.0236 |
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- | 0.0021 | 0.9492 | 2750 | 0.0024 | 0.0623 | 0.0238 |
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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.
22
  It achieves the following results on the evaluation set:
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  - Loss: 0.0027
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+ - Wer: 0.0379
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+ - Cer: 0.0158
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | 0.0001 | 0.0863 | 250 | 0.0024 | 0.0366 | 0.0157 |
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+ | 0.0 | 0.1726 | 500 | 0.0024 | 0.0423 | 0.0214 |
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+ | 0.0 | 0.2589 | 750 | 0.0024 | 0.0357 | 0.0148 |
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+ | 0.0 | 0.3452 | 1000 | 0.0024 | 0.0423 | 0.0194 |
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+ | 0.0 | 0.4314 | 1250 | 0.0024 | 0.0638 | 0.0245 |
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+ | 0.0 | 0.5177 | 1500 | 0.0024 | 0.0634 | 0.0243 |
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+ | 0.0001 | 0.6040 | 1750 | 0.0024 | 0.0621 | 0.0236 |
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+ | 0.0002 | 0.6903 | 2000 | 0.0024 | 0.0627 | 0.0240 |
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+ | 0.0002 | 0.7766 | 2250 | 0.0024 | 0.0622 | 0.0235 |
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+ | 0.0004 | 0.8629 | 2500 | 0.0024 | 0.0624 | 0.0237 |
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+ | 0.0021 | 0.9492 | 2750 | 0.0024 | 0.0626 | 0.0241 |
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  ### Framework versions
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