Merge pull request #972 from Jackwaterveg/develop

update the ds2 online conf

docs/source/released_model.md

@@ -4,7 +4,7 @@
 ### Acoustic Model Released in paddle 2.X
 Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER | Hours of speech
 :-------------:| :------------:| :-----: | -----: | :----------------- |:--------- | :---------- | :---------
-[Ds2 Online Aishell Model](https://deepspeech.bj.bcebos.com/release2.1/aishell/s0/aishell.s0.ds_online.5rnn.debug.tar.gz) | Aishell Dataset | Char-based | 345 MB  | 2 Conv + 5 LSTM layers with only forward direction | 0.0824 |-| 151 h
+[Ds2 Online Aishell Model](https://deepspeech.bj.bcebos.com/release2.2/aishell/s0/ds2_online_aishll_CER8.02_release.tar.gz) | Aishell Dataset | Char-based | 345 MB  | 2 Conv + 5 LSTM layers with only forward direction | 0.080218 |-| 151 h
 [Ds2 Offline Aishell Model](https://deepspeech.bj.bcebos.com/release2.1/aishell/s0/aishell.s0.ds2.offline.cer6p65.release.tar.gz)| Aishell Dataset | Char-based | 306 MB | 2 Conv + 3 bidirectional GRU layers| 0.065 |-| 151 h
 [Conformer Online Aishell Model](https://deepspeech.bj.bcebos.com/release2.1/aishell/s1/aishell.chunk.release.tar.gz) | Aishell Dataset | Char-based | 283 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention + CTC | 0.0594 |-| 151 h
 [Conformer Offline Aishell Model](https://deepspeech.bj.bcebos.com/release2.1/aishell/s1/aishell.release.tar.gz) | Aishell Dataset | Char-based | 284 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention | 0.0547 |-| 151 h

examples/aishell/s0/conf/deepspeech2_online.yaml

@@ -46,10 +46,10 @@ model:
   ctc_grad_norm_type: null
   
 training:
-  n_epoch: 50
+  n_epoch: 65
   accum_grad: 1
-  lr: 2e-3
-  lr_decay: 0.9  # 0.83
+  lr: 5e-4
+  lr_decay: 0.93
   weight_decay: 1e-06
   global_grad_clip: 3.0
   log_interval: 100
@@ -63,7 +63,7 @@ decoding:
   decoding_method: ctc_beam_search
   lang_model_path: data/lm/zh_giga.no_cna_cmn.prune01244.klm
   alpha: 2.2 #1.9
-  beta: 5.0
+  beta: 4.3
   beam_size: 300
   cutoff_prob: 0.99
   cutoff_top_n: 40