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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2021-07-30 23:15:03 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2021-07-30 23:15:03 +0200
commit7268035fb9e57342612a8cc50a1fe04e8841ca2f (patch)
tree8d4cf3743975bd25f2c04d6a56ff3d4608a7e8d9 /training/conf/callbacks/early_stopping.yaml
parent92fc1c7ed2f9f64552be8f71d9b8ab0d5a0a88d4 (diff)
attr bug fix, properly loading network
Diffstat (limited to 'training/conf/callbacks/early_stopping.yaml')
-rw-r--r--training/conf/callbacks/early_stopping.yaml4
1 files changed, 2 insertions, 2 deletions
diff --git a/training/conf/callbacks/early_stopping.yaml b/training/conf/callbacks/early_stopping.yaml
index 4cd5aa1..a188df3 100644
--- a/training/conf/callbacks/early_stopping.yaml
+++ b/training/conf/callbacks/early_stopping.yaml
@@ -1,6 +1,6 @@
early_stopping:
_target_: pytorch_lightning.callbacks.EarlyStopping
- monitor: "val/loss" # name of the logged metric which determines when model is improving
+ monitor: val/loss # name of the logged metric which determines when model is improving
patience: 16 # how many epochs of not improving until training stops
- mode: "min" # can be "max" or "min"
+ mode: min # can be "max" or "min"
min_delta: 0 # minimum change in the monitored metric needed to qualify as an improvement