From 6b13f61fc25bf94473d3a52d2d5614da13552925 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 3 Jan 2023 17:01:02 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 45056 -> 45056 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 4c8e8957699e857680511c94b1899b28cafdc857..ee6b6ce9ec8af40fe896506ec08f7636e2cb937a 100644
GIT binary patch
delta 377
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shp}PdH!S_&9oJ~!2sJoZL>{)kvU4BuhA*Q2;9kk})_UXq`Tls~AM-3gQvd(}

delta 372
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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 dd0507e05..659f9f22b 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
@@ -43,7 +43,7 @@ class TransformerEncoderAdapter(TransformerEncoder):
 
         for p in self.adapters.parameters():
         #    p.data = nn.Parameter(torch.zeros(p.size()).to('cuda'))
-            p.data = nn.Parameter(torch.randn(p.size()).to('cuda')/100.)
+            p.data = nn.Parameter(torch.randn(p.size()).to('cuda')/50.)
 
     def forward(self, x, padding_mask=None, layer=None, tgt_layer=None):
         x, layer_results = self.extract_features_with_adapter(