Comments (3)
daniel-kukiela
commented on June 23, 2024
Short answer - you can't. Why would you even want to do that?
from nmt-chatbot.
jackyclever
commented on June 23, 2024
Hi Kukiela:
Thank you for your reply, as i want to use my own training/testing set completely, so try to remove tst2012/2013. or otherwise can i empty those two files?
another question i have is: does the training model supports incremental training? like i train it half way and stop, can i retrain it? or it will starting from beginning again?
and can i use the same model to train other languages like french or chinese?
Regards
Jacky
On 9/12/2017, at 8:19 PM, Daniel Kukieła <[email protected]<mailto:[email protected]>> wrote:
Short answer - you can't. Why would you even want to do that?
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub<#11 (comment)>, or mute the thread<https://github.com/notifications/unsubscribe-auth/ARK925Dt_LzBDbz6HscVVhvDJWjHa6BMks5s-nregaJpZM4Q8B1v>.
from nmt-chatbot.
daniel-kukiela
commented on June 23, 2024
If you want to use your training set, you should make own tst2012/2013 files. If you didn't see, take a look: https://www.youtube.com/watch?v=dvOnYLDg8_Y.
You can stop and restart training. Checkpoint is saved every 1000 steps, but progress with training set every 5000 steps, so you should stop training just after nearest 5000 streps.
You can use that model for other languages, but you probably want to look ate "txt" files inside "steup" folder.
from nmt-chatbot.
Related Issues (20)
- Chatbot only produces 1 answer despite beam width being 20 HOT 4
- Can't run train.py HOT 7
- Train.py says it's finished training after 1 second. HOT 2
- ERROR: cannot import name 'nmt' from 'nmt' HOT 2
- FileNotFoundError: [Errno 2] No such file or directory: 'data//corpus_size'
- nmt: [ deleted ] while training
- Trained Model ? HOT 1
- does this work with tensorflow 2.0?
- is it supposed to just be stopped on this
- 2021-05-06 22:03:17.947802: I tensorflow/core/kernels/shuffle_dataset_op.cc:121] Shuffle buffer filled.
- decoding to output F:\Nebula0.0.5\nmt-chatbot\model\output_dev.
- from nmt import nmt : error
- TypeError: 'encoding' is an invalid keyword argument for this function HOT 1
- Inference returning the same empty answer to everything i type HOT 1
- bot producing only one translation per input
- Cannot Downgrade Tensorflow 1.x on Google Colab
- how do i make it train more epoch like 10000
- cannot import name 'nmt' from 'nmt'
- Issue with tensorflow api and pip installation candidate missing before 2.x
- cannot import name 'lookup_ops' from 'tensorflow.python.ops'
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 nmt-chatbot.