diff --git a/zoobot/pytorch/training/finetune.py b/zoobot/pytorch/training/finetune.py
index 7902db7e..4b461555 100644
--- a/zoobot/pytorch/training/finetune.py
+++ b/zoobot/pytorch/training/finetune.py
@@ -159,7 +159,7 @@ def configure_optimizers(self):
 
         logging.info(f'Encoder architecture to finetune: {type(self.encoder)}')
 
-        if isinstance(self.encoder, timm.models.EfficientNet):
+        if isinstance(self.encoder, timm.models.EfficientNet): # includes v2
             # TODO for now, these count as separate layers, not ideal
             early_tuneable_layers = [self.encoder.conv_stem, self.encoder.bn1]
             encoder_blocks = list(self.encoder.blocks)
@@ -177,6 +177,9 @@ def configure_optimizers(self):
             ]
         elif isinstance(self.encoder, timm.models.MaxxVit):
             blocks_to_tune = [self.encoder.stem] + [stage for stage in self.encoder.stages]
+        elif isinstance(self.encoder, timm.models.ConvNeXt):  # stem + 3 blocks, for all sizes
+            # https://github.com/huggingface/pytorch-image-models/blob/main/timm/models/convnext.py#L264
+            blocks_to_tune = [self.encoder.stem] + [stage for stage in self.encoder.stages]
         else:
             raise ValueError(f'Encoder architecture not automatically recognised: {type(self.encoder)}')