What insights can the training and validation losses curve provide for my sound separation model's performance?

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I trained sound separation model with 10000samples and the same number of sample was used in validation with number of epochs =10 and 32 batch and 4 number of worker using Adam optimizer . I need someone explain to me the output training and validation losses curve for my model shown in below :

training and validation loss for sound separation model

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