I am trying to train a model over human skeleton data and was able to achieve good accuracy overtraining but the validation loss reaches a point and starts to increase again. Model validation accuracy doesn’t decrease over time. Clearly, it overfitting and I totally understand. For reducing this I tried most of the techniques but was not able to decrease the validation_loss. I had tried dropouts, reducing model capacity, and adding loss for layers but no luck.
Log graph would be seen below
Any ideas to improve the model??

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