Update model card

README.md

@@ -163,7 +163,7 @@ The dataset combines relabeled rows from [`ai4privacy/pii-masking-openpii-1.5m`]
 ### 4.2. Procedure
 
 <div align="center">
-  <img src="figures/model-training-1-1.png" alt="Training loss, learning rate, and gradient norm by training step">
+  <img src="figures/evaluation-train-1-1.png" alt="Training loss, learning rate, and gradient norm by training step">
 </div>
 
 | Item | Value |
@@ -204,7 +204,7 @@ The headline metrics are language-slice strict micro Precision, Recall, and F1.
 ### 5.2. Results
 
 <div align="center">
-  <img src="figures/model-evaluation-1-1.png" alt="Validation precision, recall, micro F1, and macro F1 by training step">
+  <img src="figures/evaluation-test-1-1.png" alt="Validation precision, recall, micro F1, and macro F1 by training step">
 </div>
 
 | Language | Validation P | Validation R | Validation F1 | Golden P | Golden R | Golden F1 | F1 Difference |