Update README.md

README.md

@@ -52,7 +52,7 @@ Training a model like this with just a few card images is challenging. Here's ho
 -   **Preprocessing:** The images are processed using the `CLIPProcessor` to convert them into the input format that the CLIP model expects, specifically pixel values.
 -   **Optimizer:** AdamW is used to train the network and the cross entropy loss (`nn.CrossEntropyLoss`) for classification is used.
 -   **Training:**
-    -   The model is trained for 50 epochs. (Reliable enough to counter tons of different states of uno cards)
+    -   The model is generally trained for 50 epochs. (Reliable enough to counter tons of different states of uno cards) But this one has trained for 130 epochs.
     -   We use a batch size of 4.
     -   A low learning rate of 1e-5 is used to avoid instability. (Super important! While it is low, it learns extremely well)