From dc604c1bd3b4b7fda6517c1e483241c5f5c62477 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 30 Mar 2023 13:46:09 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 36864 -> 36864 bytes
 .../data2vec_audio.py                         |   2 +-
 2 files changed, 1 insertion(+), 1 deletion(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp
index 3a15d829d61eea77f5be044147297a8c432b9d0a..69a4db810ae753dbbe7101b3b5c1766bad6ab913 100644
GIT binary patch
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diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
index ab47fbdf7..c2960c8c3 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
@@ -42,7 +42,7 @@ class TransformerEncoderAdapter(TransformerEncoder):
         self.adapters = ResidualAdapterModule(proj_dim=512)
 
         for p in self.adapters.parameters():
-            p.data /= 5.
+            p.data /= 10.
         #p.data = nn.Parameter(torch.zeros(p.size()).to('cuda'))
         #p.data = nn.Parameter(torch.randn(p.size()).to('cuda')/20.)