This website requires JavaScript.
Explore
Help
Sign In
mik
/
ReClass
Watch
1
Star
0
Fork
0
You've already forked ReClass
Code
Issues
Pull Requests
Actions
Packages
Projects
Releases
Wiki
Activity
6
Commits
2
Branches
0
Tags
2cbdd552438a42e53d270a31efc8576f15658363
Go to file
Code
Clone
HTTPS
Tea CLI
Open with VS Code
Open with VSCodium
Open with Intellij IDEA
Download ZIP
Download TAR.GZ
Download BUNDLE
charlie-rasberry
2cbdd55243
Fixed get_stratified_sample() and replace broken x() with actual working logic, added sample_with_keywords().
2025-11-12 02:05:20 +00:00
multitag
Fixed get_stratified_sample() and replace broken x() with actual working logic, added sample_with_keywords().
2025-11-12 02:05:20 +00:00
.gitignore
Added multitag.py (65% complete), preprocess.py (complete), sampler.py (80% complete)
2025-11-09 01:45:09 +00:00
datasets_reviews.ipynb
uber review
2025-10-08 00:19:49 +01:00
README.md
initial commit
2025-10-07 23:47:48 +01:00
README.md
6013
Reference in New Issue
View Git Blame
Copy Permalink
Description
Review Classification using XLM-RoBERTa in a multitask configuration to compare against single head baselines. All Data, statistics and model checkpoints used are attached.
Readme
MIT
6.7
GiB
Languages
Jupyter Notebook
68.7%
Python
30.1%
Batchfile
1.2%
