Lower batch size.
@@ -88,7 +88,7 @@ dropout = 0.2 // dropout rate
no_tqdm = 1 // if true, disable tqdm progress bar
trainer_type = "sampling" // type of trainer: 'sampling'
shared_optimizer = 1 // if true, use same optimizer for all tasks
-batch_size = 64 // training batch size
+batch_size = 32 // training batch size
optimizer = "adam" // optimizer. All valid AllenNLP options are available,
// including 'sgd'. 'adam' uses the newer AMSGrad variant.
n_epochs = 10000 // number of epochs to train for
