From eb92e79fb94e7b3df8f27c8ce3e607a70dff2a2e Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期三, 28 二月 2024 15:21:32 +0800
Subject: [PATCH] test
---
funasr/train_utils/trainer.py | 9 ++++++---
1 files changed, 6 insertions(+), 3 deletions(-)
diff --git a/funasr/train_utils/trainer.py b/funasr/train_utils/trainer.py
index f4ef773..c232642 100644
--- a/funasr/train_utils/trainer.py
+++ b/funasr/train_utils/trainer.py
@@ -108,7 +108,7 @@
filename = os.path.join(self.output_dir, f'model.pt.ep{epoch}')
torch.save(state, filename)
- print(f'Checkpoint saved to {filename}')
+ print(f'\nCheckpoint saved to {filename}\n')
latest = Path(os.path.join(self.output_dir, f'model.pt'))
torch.save(state, latest)
@@ -157,7 +157,7 @@
self._resume_checkpoint(self.output_dir)
for epoch in range(self.start_epoch, self.max_epoch + 1):
-
+ time1 = time.perf_counter()
self._train_epoch(epoch)
@@ -179,6 +179,9 @@
self.scheduler.step()
+ 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")
if self.rank == 0:
average_checkpoints(self.output_dir, self.avg_nbest_model)
@@ -285,7 +288,7 @@
)
lr = self.scheduler.get_last_lr()[0]
time_now = datetime.now()
- time_now = now.strftime("%Y-%m-%d %H:%M:%S")
+ time_now = time_now.strftime("%Y-%m-%d %H:%M:%S")
description = (
f"{time_now}, "
f"rank: {self.local_rank}, "
--
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