Comments (5)
The argument label_smoothing
for torch.nn.CrossEntropyLoss
is only available for torch >= 1.10
It is added in https://github.com/pytorch/pytorch/pull/63122/files#diff-6b8e21a44da970b14c1d62eb1747af1b09d3914ff1f6354754c62f1f5784cb9dR1107
on 2021-08-12, which is quite new.
from icefall.
Is there any difference between the icefall implementation and the one provided by pytorch?
Please see #107
from icefall.
I see, but otherwise the functionality should be the same, right?
from icefall.
I have not checked that. Will read PyTorch's implementation tomorrow and come back later.
Thanks for pointing this out. I was not aware of this argument for torch.nn.CrossEntropyLoss
.
from icefall.
Thanks, yeah this torch version is quite new. I found it by accident :)
from icefall.
Related Issues (20)
- ONNX and Torch models HOT 1
- how to decrease the right chunk size when using zipformer model?
- How to load the base model in the fine-tuning task of KWS HOT 3
- Getting segmentation fault HOT 9
- Training break down. details is showed below HOT 3
- training very slowly HOT 24
- Using my own data to train pruned_transducer_stateless7_ctc_bs, encountered an error
- Grad scale is too small HOT 10
- Non-streaming Conformer model with pruned_rnnt_loss always emits the first non-blank characters on the very first frames. HOT 1
- fast_beam_search_nbest gives very high WER compared to fast_beam_search and greedy. HOT 2
- fine-tune problem HOT 14
- How to reduce memory when decoding on CPU? HOT 8
- The exported ONNX cannot recognize speech offline. It is normal to use python scripts to infer the pt model HOT 7
- [Help needed] Support https://huggingface.co/datasets/Alex-Song/MSR-86K HOT 2
- Cannot download reazonspeech dataset HOT 4
- Regular spikes in training metrics for zipformer training on custom data HOT 10
- Zipformer performs well on short audios but terribly on long audios with silences HOT 16
- NPU Error HOT 2
- lilcom error occurs when using kespeech training: lilcom: Length of string was too short HOT 7
- Inconsistency between kaldifeat and lhotse's default feature extractor Fbank
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from icefall.