Downloads · 30 days
6
2% of all-time downloads
BERT650
TungLe7661/BERT650
BERT650 is a text classification model from TungLe7661. Use it when you need a label for a piece of text. It is set up for transformers.
'evalaccuracy': 0.68516, 'evalf1': 0.6844490693226439, 'evalprecision': 0.6839923350377614, 'evalrecall': 0.68516
All-time downloads
248
Public
Parameters
109M
1.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 24, 2024
- Updated
- Apr 24, 2024
- SHA
- ee96844a
Try a prompt
Model card
From the Hugging Face model README
'eval_accuracy': 0.68516, 'eval_f1': 0.6844490693226439, 'eval_precision': 0.6839923350377614, 'eval_recall': 0.68516
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Apr 24, 2024
- Updated
- Apr 24, 2024