funasr/bin/train_ds.py
@@ -198,7 +198,9 @@ trainer.train_loss_avg = 0.0 if trainer.rank == 0: average_checkpoints(trainer.output_dir, trainer.avg_nbest_model) average_checkpoints( trainer.output_dir, trainer.avg_nbest_model, use_deepspeed=trainer.use_deepspeed ) trainer.close()