Downloads · 30 days
5
6% of all-time downloads
legal-InLegal-merge-ties
xshubhamx/legal-InLegal-merge-ties
legal-InLegal-merge-ties is a text classification model from xshubhamx. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
- loss: 0.6616 - accuracy: 0.8443 - precision: 0.8473 - recall: 0.8443 - precisionmacro: 0.8200 - recallmacro: 0.7913 - macrofpr: 0.0134 - weightedfpr: 0.0130 - weightedspecificity: 0.9802 - macrospecificity: 0.9883 -…
All-time downloads
87
Public
Parameters
109M
219 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors219 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 19, 2024
- Updated
- Apr 19, 2024
- SHA
- fb65ba7e
Try a prompt
Model card
From the Hugging Face model README
Metrics
- loss: 0.6616
- accuracy: 0.8443
- precision: 0.8473
- recall: 0.8443
- precision_macro: 0.8200
- recall_macro: 0.7913
- macro_fpr: 0.0134
- weighted_fpr: 0.0130
- weighted_specificity: 0.9802
- macro_specificity: 0.9883
- weighted_sensitivity: 0.8443
- macro_sensitivity: 0.7913
- f1_micro: 0.8443
- f1_macro: 0.7980
- f1_weighted: 0.8435
- runtime: 28.7426
- samples_per_second: 44.9160
- steps_per_second: 5.6360
legal-InLegal-merge-ties
legal-InLegal-merge-ties is a merge of the following models using mergekit:
🧩 Configuration
models:
- model: xshubhamx/legal-bert-base-uncased
parameters:
density: 0.5
weight: 0.5
- model: xshubhamx/InLegalBERT
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: xshubhamx/legal-bert-base-uncased
parameters:
normalize: false
int8_mask: true
dtype: float16
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 19, 2024
- Updated
- Apr 19, 2024