diff --git a/sgmse/model.py b/sgmse/model.py
index a97a56680b44a397827ad21afecfdf57a6ad4b0c..3c4bf8b494f7cbaf3f5f0a61d9e27e4a4066098f 100644
--- a/sgmse/model.py
+++ b/sgmse/model.py
@@ -18,13 +18,13 @@ class ScoreModel(pl.LightningModule):
     def add_argparse_args(parser):
         parser.add_argument("--lr", type=float, default=1e-4, help="The learning rate (1e-4 by default)")
         parser.add_argument("--ema_decay", type=float, default=0.999, help="The parameter EMA decay constant (0.999 by default)")
-        parser.add_argument("--t_eps", type=float, default=0.03, help="The minimum time (3e-2 by default)")
+        parser.add_argument("--t_eps", type=float, default=0.03, help="The minimum process time (0.03 by default)")
         parser.add_argument("--num_eval_files", type=int, default=20, help="Number of files for speech enhancement performance evaluation during training. Pass 0 to turn off (no checkpoints based on evaluation metrics will be generated).")
         parser.add_argument("--loss_type", type=str, default="mse", choices=("mse", "mae"), help="The type of loss function to use.")
         return parser
 
     def __init__(
-        self, backbone, sde, lr=1e-4, ema_decay=0.999, t_eps=3e-2,
+        self, backbone, sde, lr=1e-4, ema_decay=0.999, t_eps=0.03,
         num_eval_files=20, loss_type='mse', data_module_cls=None, **kwargs
     ):
         """