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Update 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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@@ -70,7 +72,7 @@ The following hyperparameters were used during training:
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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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  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 |