Comments (6)
make sure you turn off the coverage loss initially.
from pointer_summarizer.
make sure you turn off the coverage loss initially.
bro i am not using coverage loss at all . And model that i am using is exactly same as yours . Just the thing is that i am fixing max_enc_steps to 200 and max_dec_steps to 30 .
from pointer_summarizer.
sir pls help coz i am trying to solve this problem for a month and i am not able to figure it out .
from pointer_summarizer.
Sir the link to repo is below:-
https://github.com/priyanks179/pointer-gen-network
from pointer_summarizer.
@atulkum Hello sir, I'm confuse why we should turn off coverage loss initially
from pointer_summarizer.
If you turn on coverage initially the training won't converge.
Intuitively think about coverage as one more constraint on optimization which will restrict the space you can explore.
That is the reason first we explore the loss space without the restriction and once it converge a bit we apply the coverage.
from pointer_summarizer.
Related Issues (20)
- Python3 support? HOT 13
- During the training and verification process, when "step = 0", the "coverage" is initialized differently. During training, the coverage is an all-zero tensor, but this is not the case during prediction. HOT 1
- url correction HOT 1
- What is the version of tensorflow? HOT 1
- Test time custom decoding!!
- Training saturates early? HOT 3
- Vector encode input extend vocab HOT 3
- what's function of the eval.py when i check the train.py ,it does't call the eval.py , save the model directly? HOT 1
- question about eval HOT 1
- eval.py decode.py HOT 2
- when i train it with coverage ,the loss is nan when i get 250k iter? HOT 1
- how to use valid dataset to select a bestmodel to test? HOT 1
- How to train with Coverage? HOT 1
- 'Encoder' object has no attribute 'tx_proj' HOT 3
- What is the specific implementation of pointer network HOT 1
- Can the code here be trained with multiple GPUs HOT 1
- Discrepancy with implementation and the paper
- Retraining model cause optimizer duplicate parameter error HOT 3
- How to choose the best training model
- Duplicated computation with LSTM?
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 pointer_summarizer.