Add logit scale parameter options to ContrastivePretraining docstring

Author: fcogidi

mmlearn/tasks/contrastive_pretraining.py

@@ -112,6 +112,15 @@ class ContrastivePretraining(L.LightningModule):
         a `scheduler` key that specifies the scheduler and an optional `extras` key
         that specifies additional arguments to pass to the scheduler. If not provided,
         the learning rate will not be adjusted during training.
+    init_logit_scale : float, optional, default=1 / 0.07
+        The initial value of the logit scale parameter. This is the log of the scale
+        factor applied to the logits before computing the contrastive loss.
+    max_logit_scale : float, optional, default=100
+        The maximum value of the logit scale parameter. The logit scale parameter
+        is clamped to the range [0, log(max_logit_scale)].
+    learnable_logit_scale : bool, optional, default=True
+        Whether the logit scale parameter is learnable. If set to False, the logit
+        scale parameter is treated as a constant.
     loss : CLIPLoss, optional, default=None
         The loss function to use.
     modality_loss_pairs : List[LossPairSpec], optional, default=None