seq_len_norm set in config

config.json

@@ -53,6 +53,7 @@
     "lr": 0.0001,                  // Initial learning rate. If Noam decay is active, maximum learning rate.
     "wd": 0.000001,         // Weight decay weight.
     "warmup_steps": 4000,          // Noam decay steps to increase the learning rate from 0 to "lr"
+    "seq_len_norm": false,	   // Normalize eash sample loss with its length to alleviate imbalanced datasets. Use it if your dataset is small or has skewed distribution of sequence lengths.
     
     // TACOTRON PRENET
     "memory_size": -1,              // ONLY TACOTRON - size of the memory queue used fro storing last decoder predictions for auto-regression. If < 0, memory queue is disabled and decoder only uses the last prediction frame.