HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Text Classification
Text Classification On Hatexplain 1
Text Classification On Hatexplain 1
Metrics
Accuracy (2 classes)
F1 Macro
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy (2 classes)
F1 Macro
Paper Title
Space-XLNet
0.8798
0.8797
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs
XLNet
0.8160
0.8156
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs
Space-BERT
0.8110
0.8108
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs
BERT-base
0.6588
0.6555
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs
0 of 4 row(s) selected.
Previous
Next
Text Classification On Hatexplain 1 | SOTA | HyperAI