roberta-base-category-classifier

chunwei-sf/roberta-base-category-classifier

roberta-base-category-classifier is a machine learning model from chunwei-sf. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.

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

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At a glance

Library: peft
License: mit
Access: Public
Created: Aug 28, 2025
Updated: Aug 28, 2025
SHA: 5b51f23a

Base models

Model card

From the Hugging Face model README

roberta-base-category-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: 0.1074
Accuracy: 0.9717
Precision: 0.9715
Recall: 0.9717
F1: 0.9715

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2522	1.0	1342	0.1409	0.9594	0.9592	0.9594	0.9589
0.1339	2.0	2684	0.1094	0.9709	0.9707	0.9709	0.9707
0.1098	3.0	4026	0.1074	0.9717	0.9715	0.9717	0.9715

Framework versions

PEFT 0.17.1
Transformers 4.55.4
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4

Library: peft
License: mit
Created: Aug 28, 2025
Updated: Aug 28, 2025