diff --git a/train_diffusion_prior.py b/train_diffusion_prior.py
index f486caf..657db7e 100644
--- a/train_diffusion_prior.py
+++ b/train_diffusion_prior.py
@@ -93,6 +93,8 @@ def report_cosine_sims(diffusion_prior, image_reader, text_reader, train_set_siz
             text_embed, predicted_image_embeddings).cpu().numpy()
         unrelated_similarity = cos(
             text_embed, predicted_unrelated_embeddings).cpu().numpy()
+        predicted_img_similarity = cos(
+            test_image_embeddings, predicted_image_embeddings).cpu().numpy()
 
         wandb.log(
             {"CosineSimilarity(text_embed,image_embed)": np.mean(original_similarity)})
@@ -100,6 +102,8 @@ def report_cosine_sims(diffusion_prior, image_reader, text_reader, train_set_siz
             predicted_similarity)})
         wandb.log({"CosineSimilarity(text_embed,predicted_unrelated_embed)": np.mean(
             unrelated_similarity)})
+        wandb.log({"CosineSimilarity(image_embed,predicted_image_embed)": np.mean(
+            predicted_img_similarity)})
 
     return np.mean(predicted_similarity - original_similarity)