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Diffstat (limited to 'training/conf/callbacks/early_stopping.yaml')
-rw-r--r-- | training/conf/callbacks/early_stopping.yaml | 4 |
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 |