Why HR and MRR become smaller after each epoch?

[linh47]

epoch 1, mean_loss0.130139, test HR@50: 0.322375, test MRR: 0.0353417 epoch 2, mean_loss0.0528188, test HR@50: 0.336161, test MRR: 0.0330826 epoch 3, mean_loss0.0253366, test HR@50: 0.316013, test MRR: 0.0339782 epoch 4, mean_loss0.0166349, test HR@50: 0.306469, test MRR: 0.0332131 ………………

epoch 28, mean_loss0.00114451, test HR@50: 0.246023, test MRR: 0.0233681 epoch 29, mean_loss0.00107539, test HR@50: 0.244963, test MRR: 0.0247977 epoch 30, mean_loss0.00104046, test HR@50: 0.240721, test MRR: 0.0242149

The paper states that these two values should be larger as possible.I ran the original author's code and it got smaller and smaller, I didn't understand why. Could you please tell me why it is calculated like this?