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README.md
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@@ -49,10 +49,12 @@ Train set:
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Test set:
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600 samples in total from the 3 sets to save time during training as colab free tier was used to train the model.
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evaluate accuracy
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## Training procedure
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### Training hyperparameters
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.4603 | 1 | 1437
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| 0.2867 | 2 | 2874 | 0.4493 | 36.9973 |
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| 0.2494 | 3 | 4311 | 0.4219 | 43.5553 |
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| 0.1435 | 4 | 5748 | 0.4408 | 40.2351 |
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Test set:
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600 samples in total from the 3 sets to save time during training as colab free tier was used to train the model.
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note: evaluate accuracy in the way you see fit.
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## Training procedure
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removed arabic (حركات) from the texts.
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trained the model on the combined dataset for 6 epochs, the best one being the fifth so the model is basically the 5th epoch.
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### Training hyperparameters
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.4603 | 1 | 1437 | 0.4931 | 45.8857 |
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| 0.2867 | 2 | 2874 | 0.4493 | 36.9973 |
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| 0.2494 | 3 | 4311 | 0.4219 | 43.5553 |
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| 0.1435 | 4 | 5748 | 0.4408 | 40.2351 |
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