add making saving dir

train_isc.py

@@ -151,6 +151,8 @@ def main_worker(gpu, ngpus_per_node, model, training_args):
         train_one_epoch(train_loader, model, loss_fn, optimizer, scaler, epoch, rank)
 
         if not distributed or (distributed and rank == 0):
+            if not os.path.exists(training_args.output_dir):
+                os.mkdir(training_args.output_dir)
             torch.save({
                 'epoch': epoch + 1,
                 'state_dict': model.state_dict(),