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Therefore, it is the best practice to freeze all layers while in the ParallelConv1D blocks and only great-tune the LSTM layers plus the classifier devoid of unfreezing the frozen levels (scenario 2-a, plus the metrics are shown just in case two in Table two). The levels frozen are deemed in a position to extract common characteristics across tokam

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