funasr/train_utils/trainer.py
@@ -181,7 +181,7 @@ time2 = time.perf_counter() time_escaped = (time2 - time1)/3600.0 print(f"\ntime_escaped_epoch: {time_escaped:.3f} hours, estimated to finish {self.max_epoch} epoch: {(self.max_epoch-epoch)*time_escaped:.3f}\n") print(f"\nrank: {self.local_rank}, time_escaped_epoch: {time_escaped:.3f} hours, estimated to finish {self.max_epoch} epoch: {(self.max_epoch-epoch)*time_escaped:.3f}\n") if self.rank == 0: average_checkpoints(self.output_dir, self.avg_nbest_model)
