Let's write a concise python script that trains a Transformer model with hybrid architecture. The model should have two initial GRU layers, followed by two Transformer layers, and a dropout of 0.1 between each layer. The model needs positional encoding as it will be trained on time series data. We want 10 attention heads for the transformer layers. Do not include the following keywords: encoding, attention, time, architecture
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