Daniel Povey
65b09dd5f2
Double the threshold in brelu; slightly increase max_factor.
2022-03-05 00:07:14 +08:00
Daniel Povey
6252282fd0
Add deriv-balancing code
2022-03-04 20:19:11 +08:00
Daniel Povey
eb3ed54202
Reduce scale from 50 to 20
2022-03-04 15:56:45 +08:00
Daniel Povey
9cc5999829
Fix duplicate Swish; replace norm+swish with swish+exp-scale in convolution module
2022-03-04 15:50:51 +08:00
Daniel Povey
7e88999641
Increase scale from 20 to 50.
2022-03-04 14:31:29 +08:00
Daniel Povey
3207bd98a9
Increase scale on Scale from 4 to 20
2022-03-04 13:16:40 +08:00
Daniel Povey
cd216f50b6
Add import
2022-03-04 11:03:01 +08:00
Daniel Povey
bc6c720e25
Combine ExpScale and swish for memory reduction
2022-03-04 10:52:05 +08:00
Daniel Povey
23b3aa233c
Double learning rate of exp-scale units
2022-03-04 00:42:37 +08:00
Daniel Povey
5c177fc52b
pelu_base->expscale, add 2xExpScale in subsampling, and in feedforward units.
2022-03-03 23:52:03 +08:00
Daniel Povey
3fb559d2f0
Add baseline for the PeLU expt, keeping only the small normalization-related changes.
2022-03-02 18:27:08 +08:00
Daniel Povey
9d1b4ae046
Add pelu to this good-performing setup..
2022-03-02 16:33:27 +08:00
Daniel Povey
c1063def95
First version of rand-combine iterated-training-like idea.
2022-02-27 17:34:58 +08:00
Daniel Povey
63d8d935d4
Refactor/simplify ConformerEncoder
2022-02-27 13:56:15 +08:00
Daniel Povey
2af1b3af98
Remove ReLU in attention
2022-02-14 19:39:19 +08:00
Daniel Povey
a859dcb205
Remove learnable offset, use relu instead.
2022-02-07 12:14:48 +08:00
Daniel Povey
48a764eccf
Add min in q,k,v of attention
2022-02-06 21:19:37 +08:00
Fangjun Kuang
14c93add50
Remove batchnorm, weight decay, and SOS from transducer conformer encoder ( #155 )
...
* Remove batchnorm, weight decay, and SOS.
* Make --context-size configurable.
* Update results.
2021-12-27 16:01:10 +08:00
Fangjun Kuang
cb04c8a750
Limit the number of symbols per frame in RNN-T decoding. ( #151 )
2021-12-18 11:00:42 +08:00
Fangjun Kuang
1d44da845b
RNN-T Conformer training for LibriSpeech ( #143 )
...
* Begin to add RNN-T training for librispeech.
* Copy files from conformer_ctc.
Will edit it.
* Use conformer/transformer model as encoder.
* Begin to add training script.
* Add training code.
* Remove long utterances to avoid OOM when a large max_duraiton is used.
* Begin to add decoding script.
* Add decoding script.
* Minor fixes.
* Add beam search.
* Use LSTM layers for the encoder.
Need more tunings.
* Use stateless decoder.
* Minor fixes to make it ready for merge.
* Fix README.
* Update RESULT.md to include RNN-T Conformer.
* Minor fixes.
* Fix tests.
* Minor fixes.
* Minor fixes.
* Fix tests.
2021-12-18 07:42:51 +08:00
