Loss not reducing, high validation and test metric values

[parth-shettiwar]

I tried to run the code with DLA algorithm on Yahoo dataset. Following is the output attached. I am not sure of the following observation where I am getting almost constant training loss of about 4 (with each rank loss and exam loss as about 2), and high validation and testing metric values of more than 0.9. I did try to observe the parameter values of 2 models, which are actually updating. Also the loss is just fluctuating in range of 3.9 to 4.5 always. Is there something I should do with hyperparameters, have kept the default learning rate of 0.05 and selection_bias_cutoff = 10. This is with respect to the pytorch implementation of the code