X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=main.py;h=3b29d01fa1dc444604fb15f7552f21ac887f924b;hb=87e2957c7f8262524e1dc627ad33725f387c7286;hp=09ae82345ec0258063f8a107a633b41b0c7779c8;hpb=4ec52fe66419a6e1d2b231108ccbb45902395fcc;p=culture.git

diff --git a/main.py b/main.py
index 09ae823..3b29d01 100755
--- a/main.py
+++ b/main.py
@@ -183,7 +183,7 @@ for n in vars(args):
 ######################################################################
 
 if args.check:
-    args.nb_train_samples = 500
+    args.nb_train_samples = 2500
     args.nb_test_samples = 100
 
 if args.physical_batch_size is None:
@@ -360,7 +360,7 @@ def create_quizzes(
     task.store_new_quizzes(new_quizzes[nb_for_train:], for_train=False)
 
     task.save_image(
-        new_quizzes[:96],
+        new_quizzes[:72],
         args.result_dir,
         f"world_quiz_{n_epoch:04d}_{model.id:02d}.png",
         log_string,
@@ -404,7 +404,7 @@ if args.check:
     nb_new_quizzes_for_test = 10
 
 for n_epoch in range(args.nb_epochs):
-    a = [(model.id, model.main_test_accuracy) for model in models]
+    a = [(model.id, float(model.main_test_accuracy)) for model in models]
     a.sort(key=lambda p: p[0])
     log_string(f"current accuracies {a}")