From c568628130ac42ebeea8cf48fe926520a31ff511 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期二, 16 五月 2023 10:57:21 +0800
Subject: [PATCH] update repo
---
egs/aishell/data2vec_transformer_finetune/run.sh | 8 ++++----
1 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/egs/aishell/data2vec_transformer_finetune/run.sh b/egs/aishell/data2vec_transformer_finetune/run.sh
index e040290..7bbcf90 100755
--- a/egs/aishell/data2vec_transformer_finetune/run.sh
+++ b/egs/aishell/data2vec_transformer_finetune/run.sh
@@ -8,7 +8,7 @@
count=1
gpu_inference=true # Whether to perform gpu decoding, set false for cpu decoding
# for gpu decoding, inference_nj=ngpu*njob; for cpu decoding, inference_nj=njob
-njob=1
+njob=5
train_cmd=utils/run.pl
infer_cmd=utils/run.pl
@@ -52,8 +52,8 @@
asr_config=conf/train_asr_transformer_12e_6d_3072_768.yaml
model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}"
-inference_config=conf/decode_asr_transformer_noctc_1best.yaml
-inference_asr_model=valid.acc.ave_10best.pb
+inference_config=conf/decode_asr_transformer.yaml
+inference_asr_model=valid.cer_ctc.ave_10best.pb
# you can set gpu num for decoding here
gpuid_list=$CUDA_VISIBLE_DEVICES # set gpus for decoding, the same as training stage by default
@@ -189,7 +189,7 @@
--asr_train_config "${asr_exp}"/config.yaml \
--asr_model_file "${asr_exp}"/"${inference_asr_model}" \
--output_dir "${_logdir}"/output.JOB \
- --mode paraformer \
+ --mode asr \
${_opts}
for f in token token_int score text; do
--
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