diff --git a/src/main/java/deepimagej/DeepImageJ.java b/src/main/java/deepimagej/DeepImageJ.java
index 42230ee7..10cb6e26 100755
--- a/src/main/java/deepimagej/DeepImageJ.java
+++ b/src/main/java/deepimagej/DeepImageJ.java
@@ -329,7 +329,7 @@ public void writeParameters(TextArea info) {
 		}
 		info.append("Memory peak: " + params.memoryPeak + "\n");
 		info.append("Runtime: " + params.runtime + "\n");
-		String modelSize = "-1";
+		double modelSize = 0;
 		
 		String ptModelName = "weights-torchscript.pt";
 		String tfModelName = "tensorflow_saved_model_bundle.zip";
@@ -345,33 +345,26 @@ public void writeParameters(TextArea info) {
 		}
 		
 		if (params.framework.equals("pytorch")) {
-			modelSize = "" + new File(this.getPath() + File.separator + ptModelName).length() / (1024 * 1024.0);
-			modelSize = modelSize.substring(0, modelSize.lastIndexOf(".") + 3);
-			info.append("Weights size: " + modelSize + " MB\n");
+			modelSize = new File(this.getPath() + File.separator + ptModelName).length() / (1024 * 1024.0);
+			info.append("Weights size: " + Math.round(modelSize * 100.0) / 100.0 + " MB\n");
 		} else if (params.framework.equals("tensorflow") && new File(this.getPath(), "variables").exists()) {
-			modelSize = "" + FileTools.getFolderSize(this.getPath() + File.separator + "variables") / (1024 * 1024.0);
-			modelSize = modelSize.substring(0, modelSize.lastIndexOf(".") + 3);
-			info.append("Weights size: " + modelSize + " MB\n");
+			modelSize = FileTools.getFolderSize(this.getPath() + File.separator + "variables") / (1024 * 1024.0);
+			info.append("Weights size: " + Math.round(modelSize * 100.0) / 100.0 + " MB\n");
 		} else if (params.framework.equals("tensorflow")) {
-			modelSize = "" + new File(this.getPath() + File.separator + tfModelName).length() / (1024 * 1024.0);
-			modelSize = modelSize.substring(0, modelSize.lastIndexOf(".") + 2);
-			info.append("Zipped model size: " + modelSize + " MB\n");
+			modelSize = new File(this.getPath() + File.separator + tfModelName).length() / (1024 * 1024.0);
+			info.append("Zipped model size: " + Math.round(modelSize * 100.0) / 100.0 + " MB\n");
 		} else if (params.framework.equals("tensorflow/pytorch") && new File(this.getPath(), "variables").exists()) {
-			modelSize = "" + new File(this.getPath() + File.separator + ptModelName).length() / (1024 * 1024.0);
-			modelSize = modelSize.substring(0, modelSize.lastIndexOf(".") + 3);
-			info.append("Pytorch weights size: " + modelSize + " MB\n");
+			modelSize = new File(this.getPath() + File.separator + ptModelName).length() / (1024 * 1024.0);
+			info.append("Pytorch weights size: " + Math.round(modelSize * 100.0) / 100.0 + " MB\n");
 
-			modelSize = "" + FileTools.getFolderSize(this.getPath() + File.separator + "variables") / (1024 * 1024.0);
-			modelSize = modelSize.substring(0, modelSize.lastIndexOf(".") + 3);
-			info.append("Tensorflow weights size: " + modelSize + " MB\n");
+			modelSize = FileTools.getFolderSize(this.getPath() + File.separator + "variables") / (1024 * 1024.0);
+			info.append("Tensorflow weights size: " + Math.round(modelSize * 100.0) / 100.0 + " MB\n");
 		} else if (params.framework.equals("tensorflow/pytorch")) {
-			modelSize = "" + new File(this.getPath() + File.separator + ptModelName).length() / (1024 * 1024.0);
-			modelSize = modelSize.substring(0, modelSize.lastIndexOf(".") + 3);
-			info.append("Pytorch weights size: " + modelSize + " MB\n");
+			modelSize = new File(this.getPath() + File.separator + ptModelName).length() / (1024 * 1024.0);
+			info.append("Pytorch weights size: " + Math.round(modelSize * 100.0) / 100.0 + " MB\n");
 
-			modelSize = "" + new File(this.getPath() + File.separator + tfModelName).length() / (1024 * 1024.0);
-			modelSize = modelSize.substring(0, modelSize.lastIndexOf(".") + 3);
-			info.append("Zipped Tensorflow model size: " + modelSize + " MB\n");
+			modelSize = new File(this.getPath() + File.separator + tfModelName).length() / (1024 * 1024.0);
+			info.append("Zipped Tensorflow model size: " + Math.round(modelSize * 100.0) / 100.0 + " MB\n");
 		}
 		
 	}
@@ -390,9 +383,20 @@ public static String findNameFromSourceParam(String sourceName, String framework
 			modelName = "tensorflow_saved_model_bundle.zip";
 		} else if (modelName.indexOf("/") != -1 && modelName.indexOf("/") < 2) {
 			modelName = modelName.substring(modelName.indexOf("/") + 1);
+		} else if (checkValidUrl(modelName)) {
+			modelName = modelName.substring(modelName.lastIndexOf("/") + 1);
 		}
 		return modelName;
 	}
+	
+	private static boolean checkValidUrl(String urlString) {
+		try {
+			new URL(urlString);
+			return true;
+		} catch (MalformedURLException e) {
+			return false;
+		}
+	}
 
 	public  boolean check(String path) {
 		File dir = new File(path);