Commit 55d9f701 authored by Sebastian Nickels's avatar Sebastian Nickels

Increased verbosity of output

parent 2a6d82a1
Pipeline #226558 failed with stages
in 20 seconds
......@@ -399,7 +399,7 @@ class ${tc.fileNameWithoutEnding}:
if test_batches > 0:
global_loss_test /= test_batches
logging.info("Epoch[%d] Train: %f, Test: %f, Train Loss: %f, Test Loss: %f" % (epoch, train_metric_score, test_metric_score, global_loss_train, global_loss_test))
logging.info("Epoch[%d] Train metric: %f, Test metric: %f, Train loss: %f, Test loss: %f" % (epoch, train_metric_score, test_metric_score, global_loss_train, global_loss_test))
if (epoch - begin_epoch) % checkpoint_period == 0:
for i, network in self._networks.items():
......
......@@ -518,7 +518,7 @@ class CNNSupervisedTrainer_Alexnet:
if test_batches > 0:
global_loss_test /= test_batches
logging.info("Epoch[%d] Train: %f, Test: %f, Train Loss: %f, Test Loss: %f" % (epoch, train_metric_score, test_metric_score, global_loss_train, global_loss_test))
logging.info("Epoch[%d] Train metric: %f, Test metric: %f, Train loss: %f, Test loss: %f" % (epoch, train_metric_score, test_metric_score, global_loss_train, global_loss_test))
if (epoch - begin_epoch) % checkpoint_period == 0:
for i, network in self._networks.items():
......
......@@ -518,7 +518,7 @@ class CNNSupervisedTrainer_CifarClassifierNetwork:
if test_batches > 0:
global_loss_test /= test_batches
logging.info("Epoch[%d] Train: %f, Test: %f, Train Loss: %f, Test Loss: %f" % (epoch, train_metric_score, test_metric_score, global_loss_train, global_loss_test))
logging.info("Epoch[%d] Train metric: %f, Test metric: %f, Train loss: %f, Test loss: %f" % (epoch, train_metric_score, test_metric_score, global_loss_train, global_loss_test))
if (epoch - begin_epoch) % checkpoint_period == 0:
for i, network in self._networks.items():
......
......@@ -518,7 +518,7 @@ class CNNSupervisedTrainer_VGG16:
if test_batches > 0:
global_loss_test /= test_batches
logging.info("Epoch[%d] Train: %f, Test: %f, Train Loss: %f, Test Loss: %f" % (epoch, train_metric_score, test_metric_score, global_loss_train, global_loss_test))
logging.info("Epoch[%d] Train metric: %f, Test metric: %f, Train loss: %f, Test loss: %f" % (epoch, train_metric_score, test_metric_score, global_loss_train, global_loss_test))
if (epoch - begin_epoch) % checkpoint_period == 0:
for i, network in self._networks.items():
......
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