Reference training curves in model card

README.md

@@ -58,6 +58,15 @@ Top-1 validation accuracy on the held-out HMDB51 split: **~32.7%** (best
 checkpoint). This is a short 5-epoch run on a small batch size and should be
 treated as a starting point rather than a competitive HMDB51 number.
 
+### Training curves
+
+![Training and validation loss/accuracy over 5 epochs](accuracy_graph.png)
+
+Validation accuracy climbs roughly linearly from ~13% (epoch 1) to ~32.7%
+(epoch 5). Training accuracy reaches ~45% by epoch 5, and validation loss
+tracks training loss closely after epoch 2 — the run was still improving when
+training stopped, so additional epochs would likely help.
+
 ## Usage
 
 ```python