update lr_scheduler and record train/val information.

pytorch_segmentation/fcn/train.py

@@ -139,7 +139,7 @@ def main(args):
         with open(results_file, "a") as f:
             # 记录每个epoch对应的train_loss、lr以及验证集指标
             train_info = f"[epoch: {epoch}] \ntrain_loss: {mean_loss:.4f} \nlr: {lr:.6f}\n"
-            f.write(train_info + val_info + "\n")
+            f.write(train_info + val_info + "\n\n")
 
         save_file = {"model": model.state_dict(),
                      "optimizer": optimizer.state_dict(),