From 7d60bacc42e64e3ed0f42537963ee961e38fd829 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 2 Feb 2023 16:06:12 +0900
Subject: [PATCH] from local

---
 egs/aishell/ASR/conformer_ctc/.train.py.swp | Bin 45056 -> 45056 bytes
 egs/aishell/ASR/conformer_ctc/train.py      |   4 ++--
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/egs/aishell/ASR/conformer_ctc/.train.py.swp b/egs/aishell/ASR/conformer_ctc/.train.py.swp
index a60a8c42ef5ab369d3afaf4ce38e64d44b07fd9d..bf1198fb084d8371b204292ecb744dfccfc14224 100644
GIT binary patch
delta 258
zcmZp8z|`=7Ni@kI%+puFQqO<^2m}}yZY11JF4`#iKA%;WnSo*BX3m0aM$S(x3=Erq
zc;n{ULR03+P9-LjpO>gH85(TnEBz+LD#*paaCS211nGKdeg+0cAU@5<z|arGc|e>B
z#G*j_mKSI`5MKx4^+22t#A!er1jK<r900`DK&$}7TtNJU2WTk}w*zqu5bFZ52oQ4u
z@ndcVhDSiW1c=js*b#^wxEX{Q%zz9HApQk((p!+TxHdDgJmH)?YnJuo_B8R$Z)bV2
LfZS~{|AYVlh<G<R

delta 256
zcmWm8AxHyZ7{>AEZnyB=%{i14aSIwP#}Gt^me~XiDy+yr6t-a41dZa77zbawVzRq^
z*}fo)L$M5;bq3L5@$U;ic-!;ujQ!5ok59|B-TmcCQWjT`MkjA)d%gIxl}$2I-<kHg
zXTAc-q3^CQ)-$$udF-vZ{MFA=b}p2L)^v+ErCG_xb6)DAg$5QdosnMgf=9H`#1Rg0
zfNiWG!bgrh+@X#HF+xlt=^YPfVh7bo^V;B9#V<+I|E$n?!Nk}!-LkihMf;Q*_nlS)
J(l_r1g+G71H&6fo

diff --git a/egs/aishell/ASR/conformer_ctc/train.py b/egs/aishell/ASR/conformer_ctc/train.py
index d414ad4fe..2b548e380 100755
--- a/egs/aishell/ASR/conformer_ctc/train.py
+++ b/egs/aishell/ASR/conformer_ctc/train.py
@@ -442,13 +442,13 @@ def compute_validation_loss(
         tot_loss.reduce(loss.device)
 
     loss_value = tot_loss["loss"] / tot_loss["frames"]
-    if params.cur_epoch < 2:
+    if params.cur_epoch < 10:
         params.best_valid_losses[params.cur_epoch] = loss_value
 
     #if loss_value < params.best_valid_loss:
     #    params.best_valid_epoch = params.cur_epoch
     #    params.best_valid_loss = loss_value
-    if params.cur_epoch >= 2 and loss_value < max(params.best_valid_losses.values()):
+    if params.cur_epoch >= 10 and loss_value < max(params.best_valid_losses.values()):
         remove_epoch = -1
         for k, v in params.best_valid_losses.items():
             if v == max(params.best_valid_losses.values()):