set min TM version 0.10 (#1044)

requirements/base.txt

@@ -1,6 +1,6 @@
 numpy <1.26.0
 pytorch-lightning >1.7.0, <2.0.0  # strict
-torchmetrics <0.12.0
+torchmetrics >=0.10.0, <0.12.0
 lightning-utilities >0.3.1  # this is needed for PL 1.7
 torchvision >=0.10.0  # todo: move to topic related extras
 tensorboard >=2.9.1, <2.14.0  # for `TensorBoardLogger`

src/pl_bolts/models/regression/logistic_regression.py

@@ -163,7 +163,7 @@ def _log_metrics(self, acc: Tensor, loss: Tensor, stage: str, **kwargs: bool) ->
     def _calculate_accuracy(self, x: Tensor, y: Tensor) -> Tensor:
         _, y_hat = torch.max(x, dim=-1)
         return functional.accuracy(
-            y_hat, y, task="multiclass", average="weighted", num_classes=self.hparams.num_classes
+            y_hat, y, task="multiclass", average="weighted", num_classes=self.hparams.num_classes, top_k=1
         )
 
     def _regularization(self, loss: Tensor) -> Tensor: