change optimizer same with released model

examples/aishell/asr3/conf/wav2vec2ASR.yaml

@@ -139,12 +139,10 @@ n_epoch: 80
 accum_grad: 1
 global_grad_clip: 5.0
 
-model_optim: adadelta
+model_optim: sgd
 model_optim_conf:
   lr: 1.0
   weight_decay: 0.0
-  rho: 0.95
-  epsilon: 1.0e-8
 
 wav2vec2_optim: adam
 wav2vec2_optim_conf:

examples/aishell/asr3/run.sh

@@ -4,9 +4,9 @@ set -e
 . ./path.sh || exit 1;
 . ./cmd.sh || exit 1;
 
-gpus=0,1,2,3
+gpus=0
-stage=0
+stage=1
-stop_stage=4
+stop_stage=1
 conf_path=conf/wav2vec2ASR.yaml
 ips=            #xx.xx.xx.xx,xx.xx.xx.xx
 decode_conf_path=conf/tuning/decode.yaml
@@ -19,7 +19,7 @@ audio_file=data/demo_002_en.wav
 
 avg_ckpt=avg_${avg_num}
 ckpt=$(basename ${conf_path} | awk -F'.' '{print $1}')
-echo "checkpoint name ${ckpt}"git revert -v 
+echo "checkpoint name ${ckpt}" 
 
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data