claim-classifier

meghas/claim-classifier

claim-classifier is a text classification model from meghas. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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Hugging Face

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Model card

From the Hugging Face model README

claim-classifier

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3432
Accuracy: 0.8889

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: 5e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.048	1.0	562	0.3966	0.8669
0.3896	2.0	1124	0.4440	0.8669
0.4783	3.0	1686	0.3893	0.8699
0.4792	4.0	2248	0.4019	0.8689
1.2405	5.0	2810	0.3883	0.8729
0.0996	6.0	3372	0.3673	0.8669
0.4833	7.0	3934	0.3873	0.8759
0.2461	8.0	4496	0.3646	0.8659
0.0977	9.0	5058	0.3432	0.8889
0.0682	10.0	5620	0.3458	0.8919

Framework versions

Transformers 4.30.2
Pytorch 1.8.1
Datasets 2.13.2
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Feb 15, 2024
Updated: Mar 4, 2025