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Kyubyong avatar Kyubyong commented on August 16, 2024 2

Sorry for this. I forgot to change self.decoder_inputs to self.y. Pull now.

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bakercp avatar bakercp commented on August 16, 2024

I am getting the same issue. I trained using

python train_multi_gpus.py

My hyperparmaters.py was modified slightly for 2 x GPUs and more epochs:

diff --git a/hyperparams.py b/hyperparams.py
index 5aaccab..8ac9032 100644
--- a/hyperparams.py
+++ b/hyperparams.py
@@ -35,13 +35,13 @@ class Hyperparams:
     # training scheme
     lr = 0.001 # Paper => Exponential decay
     logdir = "logdir"
-    batch_size = 32
-    num_epochs = 200 # Paper => 2M global steps!
+    batch_size = 64 
+    num_epochs = 2000 # Paper => 2M global steps!
     loss_type = "l1" # Or you can test "l2"
     num_samples = 32
     
     # etc
-    num_gpus = 1 # If you have multiple gpus, adjust this option, and increase the batch size
+    num_gpus = 2 # If you have multiple gpus, adjust this option, and increase the batch size
                  # and run `train_multiple_gpus.py` instead of `train.py`.
     target_zeros_masking = False # If True, we mask zero padding on the target, 
                                  # so exclude them from the loss calculation.     

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bakercp avatar bakercp commented on August 16, 2024

Fixed for me. Thanks!

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