Better handling of best_metric_last (P1B1)

Author: j-woz

Pilot1/P1B1/p1b1_baseline_pytorch.py

@@ -199,9 +199,7 @@ def fit(model, X_train, X_val, params):
     J = ckpt.restart(model)
     if J is not None:
         initial_epoch = J["epoch"]
-        best_metric_last = J["best_metric_last"]
-        params["ckpt_best_metric_last"] = best_metric_last
-        print("initial_epoch: %i" % initial_epoch)
+        print("restarting from ckpt: initial_epoch: %i" % initial_epoch)
 
     total_step = len(train_iter)
     loss_list = []