Comments (4)
The error probably comes from the Task specification.
In the config.yml
, could you try replacing :
task:
params:
alpha: 0
duration: 2.0
domain: domain
batch_size: 64
attachment: 0
per_epoch: 1
domain_loss: MSELoss
rnn:
unit: LSTM
hidden_size: 128
num_layers: 1
bidirectional: False
pool: max
labels_spec:
regular: ['KCHI', 'CHI', 'MAL', 'FEM']
union:
SPEECH: ['KCHI', 'CHI', 'FEM', 'MAL', 'SPEECH']
name: DomainAdversarialMultilabelDetection
by
task:
params:
duration: 2.0
batch_size: 64
per_epoch: 1
labels_spec:
regular: ['KCHI', 'CHI', 'MAL', 'FEM']
union:
SPEECH: ['KCHI', 'CHI', 'FEM', 'MAL', 'SPEECH']
name: MultilabelDetection
It should solve the issue !
Let me know if it works please :)
PS : For more information, pyannote
is expecting a domain
key to train the model adversarially w.r.t the domain information such as in here. The weight associated to the domain loss being 0 in this case, it is strictly equivalent than not considering at all this domain adversarial loss.
from voice-type-classifier.
I've decided to update the config.yml
in the repo directly to make the model retrainable more easily.
I'm waiting for your feedback before closing the issue :)
from voice-type-classifier.
This worked, thank you! Actually it resolved the first issue and then I experienced RuntimeError: CUDA out of memory
errors. By changing the Batch Size=32, this resolve and it seems to be retaining now.
from voice-type-classifier.
Training completed successfully (we think). However, I cannot run the validate step - will open a new issue.
from voice-type-classifier.
Related Issues (20)
- ./apply.sh does not work for numeric uris HOT 1
- CUDA out of memory error during validation HOT 3
- Differences in electronic speech HOT 4
- Validating intuition of training progress before investing in full fine-tuning effort HOT 2
- Fine-tuning versus Retraining HOT 2
- ./apply.sh: Something went wrong when applying the model HOT 5
- something went wrong when applying th emodel HOT 4
- Conda virtual env error made with the vtc.yml file HOT 2
- windows users!!! HOT 6
- citation unclear in README, arxiv paper doesn't contain info on accepted paper HOT 1
- CondaEnvException: Pip failed when creating "pyannote" HOT 2
- np.long issue HOT 1
- Something went wrong when applying the model HOT 1
- problem validating after retraining (err: ALICE/21) HOT 4
- pip install numba fails on M1 macs HOT 1
- Issue when applying model HOT 9
- Strange distribution of duration of outputted vocalisations HOT 3
- ImportError: cannot import name 'Pretrained' from 'pyannote.audio.features HOT 2
- Issue with self-recursion, fresh install on a new machine. HOT 1
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 voice-type-classifier.