From f7950e6bdbf1a636bf9deeb287a81ea9abfa74a6 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 14 Feb 2023 17:52:55 +0900
Subject: [PATCH] from local

---
 egs/tedlium2/ASR/conformer_ctc3/.train.py.swp | Bin 53248 -> 53248 bytes
 egs/tedlium2/ASR/conformer_ctc3/train.py      |   6 ++----
 2 files changed, 2 insertions(+), 4 deletions(-)

diff --git a/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp
index ec4acc63dd2412ae57d2ac4aa2ea1c09f7763424..7744b5032112796c49e57ede39a17810d668f008 100644
GIT binary patch
delta 250
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delta 213
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diff --git a/egs/tedlium2/ASR/conformer_ctc3/train.py b/egs/tedlium2/ASR/conformer_ctc3/train.py
index a6884896a..5cda80235 100755
--- a/egs/tedlium2/ASR/conformer_ctc3/train.py
+++ b/egs/tedlium2/ASR/conformer_ctc3/train.py
@@ -308,8 +308,6 @@ def get_parser() -> argparse.ArgumentParser:
         "--interctc-weight",
         type=float,
         default=0.3,
-        help="""Number of steps that affects how rapidly the learning rate
-        decreases. We suggest not to change this.""",
     )
 
     add_model_arguments(parser)
@@ -565,13 +563,13 @@ def compute_loss(
                 allow_truncate=params.subsampling_factor - 1,
             )
 
-            ctc_loss = 0.7* k2.ctc_loss(
+            ctc_loss = (1-params.interctc_weight)* k2.ctc_loss(
                 decoding_graph=decoding_graph,
                 dense_fsa_vec=dense_fsa_vec1,
                 output_beam=params.beam_size,
                 reduction=params.reduction,
                 use_double_scores=params.use_double_scores,
-            ) + 0.3 * k2.ctc_loss(
+            ) + params.interctc_weight * k2.ctc_loss(
                 decoding_graph=decoding_graph,
                 dense_fsa_vec=dense_fsa_vec2,
                 output_beam=params.beam_size,