Comments (4)
@steindor
~20 hours on 4 x TITAN RTX 24GB. (including preprocessing data)
same parameters from the Readme.
from albert-tf2.0.
Thanks for the reply. So that would be around 17 hrs w/o preprocessing? That makes much more sense. To activate multi-gpu training, the only adjustment to the code one needs to make is --strategy_type=mirror flag, right? Just want to be sure I'm not missing something here :)
from albert-tf2.0.
@steindor
You're correct. After running the code, you can check GPU usage by nvidia-smi
from albert-tf2.0.
Yes exactly. Thanks for the help.
from albert-tf2.0.
Related Issues (20)
- SQuAD predictions fail
- Unused weights from saved model HOT 1
- how to inference online with tensorflow2.0? HOT 1
- tf.saved_model.save and predict a single value HOT 9
- Freezing layers during training
- Docker Containerization
- Create Fine-Tuning Data HOT 1
- Natural Question Data Prep Script
- Fine Tune Error HOT 3
- run_classifier.py Error COLA HOT 2
- Unable to open file (unable to open file: name = 'large//tf2_model.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0) HOT 3
- tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[16,128,3072] HOT 2
- "lamp" should be "lamb"
- Pretraining of albert from scratch is stuck HOT 8
- Getting huge number training steps
- ALBERT Fine tuned on SQUAD 2 and REST API for inference
- Assertion error finetuning with run_classifier.py
- metrics about CoLA
- ALBERT model not learning
- How to fine-tune ALBERT for NER
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 albert-tf2.0.