If there is any rule to modify the parameters

[zkzhou126]

Hello! I trained the model on the WMT16 dataset and modified the parameters to the following values The main modifications were dim and seq_len, what's more, I change the learning_step to 120000, to make the result better. But I still got very poor results. I wonder when I change these parameters, do I have to change other parameters along with them?
When I trained the model with your original parameters, the results were not good enough because of dim and seq_len, but they were better than the current results.

[summmeer]

Hi, Many hyper-parameters may take effects on the final results, including bsz, seq_len, dim, steps and tokenizers. Also, other techniques such as self-conditioning, length prediction, may help the training.