diff --git a/train.py b/train.py
index 8c71b8ba6abadd5b31518dbd9869f89145f1a04d..a619856321559ce8f199f7bb1c68fa59b32adbf0 100644
--- a/train.py
+++ b/train.py
@@ -129,8 +129,8 @@ def train(fintune_model,image_size,lr0,path_data,model_exp):
 
             if it % msg_iter == 0:
 
-                print('epoch <{}/{}> -->> <{}/{}> -> iter {} : loss {:.5f}, loss_mean :{:.5f}, best_loss :{:.5f},lr :{:.6f},batch_size : {}'.\
-                format(epoch,max_epoch,i,int(ds.__len__()/n_img_per_gpu),it,loss.item(),loss_mean/loss_idx,best_loss,init_lr,n_img_per_gpu))
+                print('epoch <{}/{}> -->> <{}/{}> -> iter {} : loss {:.5f}, loss_mean :{:.5f}, best_loss :{:.5f},lr :{:.6f},batch_size : {},img_size :{}'.\
+                format(epoch,max_epoch,i,int(ds.__len__()/n_img_per_gpu),it,loss.item(),loss_mean/loss_idx,best_loss,init_lr,n_img_per_gpu,image_size))
 
                 if (it) % 500 == 0:
                     state = net.module.state_dict() if hasattr(net, 'module') else net.state_dict()