SCOTUS_AI_15

raminass/SCOTUS_AI_15

SCOTUS_AI_15 is a text classification model from raminass. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: cc-by-sa-4.0
Model type: bert
Access: Public
Created: Jan 3, 2024
Updated: Jan 4, 2024
SHA: 8853c49e

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Base models

raminass/scotus-v10

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Model card

From the Hugging Face model README

SCOTUS_AI

This model is a fine-tuned version of raminass/scotus-v10 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7680
Accuracy: 0.8341

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5767	1.0	1800	0.6222	0.8243
0.2965	2.0	3600	0.6352	0.8339
0.1832	3.0	5400	0.7201	0.8261
0.0991	4.0	7200	0.7398	0.8356
0.0616	5.0	9000	0.7680	0.8341

Justices

Justice	Count
Thomas	571
Scalia	473
Breyer	443
Stevens	407
Ginsburg	390
Kennedy	326
Alito	286
Souter	230
Sotomayor	226
O'Connor	167
Kagan	145
Rehnquist	144
Roberts	123
Gorsuch	109
Kavanaugh	65

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: bert
License: cc-by-sa-4.0
Created: Jan 3, 2024
Updated: Jan 4, 2024