From 87b37383ab8f7db5671f112a95091cdcef56b124 Mon Sep 17 00:00:00 2001 From: dohe0342 Date: Wed, 25 Jan 2023 16:51:48 +0900 Subject: [PATCH] from local --- .../.train_adapter.py.swp | Bin 81920 -> 86016 bytes .../train_adapter.py | 23 +++++++++--------- 2 files changed, 12 insertions(+), 11 deletions(-) diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp index 7ec946466e6b7132721add1bebd25bd4eb8bc251..83aa46bd6a47f703eb10cc9e4106cb3c5e6b2aa5 100644 GIT binary patch delta 1089 zcmXxiYe*DP7=Yn#)OFRpx#lI)V6rUxk*?h+MM|U6NK-=%BcilY5|zNniq=Yrl7bv) z5rs0yvMA7nGSV!vKtgFN>;@W?fwqw)Nou!u(GEN_!x_#n@P1WQx~faM(A~D&v~+cK ztW8*fBJT#C734o`4Ru?TSx)c3UPUo#E^C-I*z=xMGJTUy=Nqfu+@|`drh2o;5Io0? znssfQU9n8>xY%un0|$|VI0WOjNn{M)@fxr20F9_YHBKT6X;_107&r1wRG^VwZLv?%)FK*nsu0!W|&;8QrKv8FG<>73KNXz_Z4YIDT=TU*+@h<`g9^aXhQ?a5rscKB5!dKM^TDR zSO^1#y*amnO9RehDdO?Xi$BIa+{P_5AQKxfsW``z$BdEc%qrfi?kO)TC{m-Pf(fW!^Sg2IB+myKxmKumh`L##g$(#1lNm4P1wY zGHgR0aGCt$cfkmN$7w8_d=@c19_Ynq_KU-PQ>0?3BeTM*aa| C0=8cO delta 536 zcmXBQO(?^07{Kx8ZyOt%y_9iT?c_kQ$lC>R+L#=WxhM`2C)Ao^ivx1fav^PTlLK2Q zR)~Yk@=_?YoR=}>Ewp^)SD#}tCqo6?N(U+)c?8_WGVqewbm%}yaqJ+3F%%;U3AM-?0vJIXN?=4vMPC(P2#cu3U;dWG#yG$pA_$=aE@YJ5 Yqb9|m4}QCo!LuJ@baPOvthT3r0q$2{wg3PC diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py index 15d8222f1..e21c475dc 100755 --- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py +++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py @@ -1464,17 +1464,18 @@ def run(rank, world_size, args, wb=None): if params.print_diagnostics: diagnostic.print_diagnostics() break - - save_checkpoint( - params=params, - model=model, - model_avg=model_avg, - optimizer=optimizer, - scheduler=scheduler, - sampler=train_dl.sampler, - scaler=scaler, - rank=rank, - ) + + if epoch % 10 == 0: + save_checkpoint( + params=params, + model=model, + model_avg=model_avg, + optimizer=optimizer, + scheduler=scheduler, + sampler=train_dl.sampler, + scaler=scaler, + rank=rank, + ) logging.info("Done!")