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author | aktersnurra <gustaf.rydholm@gmail.com> | 2020-09-20 00:14:27 +0200 |
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committer | aktersnurra <gustaf.rydholm@gmail.com> | 2020-09-20 00:14:27 +0200 |
commit | e181195a699d7fa237f256d90ab4dedffc03d405 (patch) | |
tree | 6d8d50731a7267c56f7bf3ed5ecec3990c0e55a5 /src/training/trainer/callbacks/wandb_callbacks.py | |
parent | 3b06ef615a8db67a03927576e0c12fbfb2501f5f (diff) |
Minor bug fixes etc.
Diffstat (limited to 'src/training/trainer/callbacks/wandb_callbacks.py')
-rw-r--r-- | src/training/trainer/callbacks/wandb_callbacks.py | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/src/training/trainer/callbacks/wandb_callbacks.py b/src/training/trainer/callbacks/wandb_callbacks.py index 6643a44..d2df4d7 100644 --- a/src/training/trainer/callbacks/wandb_callbacks.py +++ b/src/training/trainer/callbacks/wandb_callbacks.py @@ -32,6 +32,7 @@ class WandbCallback(Callback): def on_train_batch_end(self, batch: int, logs: Optional[Dict] = None) -> None: """Logs training metrics.""" if logs is not None: + logs["lr"] = self.model.optimizer.param_groups[0]["lr"] self._on_batch_end(batch, logs) def on_validation_batch_end(self, batch: int, logs: Optional[Dict] = None) -> None: |