Update RESULTS.

This commit is contained in:
Fangjun Kuang 2022-01-10 11:01:41 +08:00
parent 222ef85864
commit 3943925df5

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@ -4,7 +4,7 @@
#### Conformer encoder + embedding decoder
Using commit `14c93add507982306f5a478cd144e0e32e0f970d`.
Using commit `TODO`.
Conformer encoder + non-current decoder. The decoder
contains only an embedding layer and a Conv1d (with kernel size 2).
@ -13,8 +13,8 @@ The WERs are
| | test-clean | test-other | comment |
|---------------------------|------------|------------|------------------------------------------|
| greedy search | 2.85 | 7.30 | --epoch 29, --avg 13, --max-duration 100 |
| beam search (beam size 4) | 2.83 | 7.19 | |
| greedy search | 2.77 | 7.07 | --epoch 30, --avg 13, --max-duration 100 |
| beam search (beam size 4) | 2.76 | 6.97 | |
The training command for reproducing is given below:
@ -32,11 +32,11 @@ export CUDA_VISIBLE_DEVICES="0,1,2,3"
```
The tensorboard training log can be found at
<https://tensorboard.dev/experiment/Mjx7MeTgR3Oyr1yBCwjozw/>
<https://tensorboard.dev/experiment/6fnVojoUQTmEJVq1yG34Vw/>
The decoding command is:
```
epoch=29
epoch=36
avg=13
## greedy search