roberta-base-klue-ynat-classification

Morgan9803/roberta-base-klue-ynat-classification

roberta-base-klue-ynat-classification is a text classification model from Morgan9803. 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. --

Downloads · 30 days

20% of all-time downloads

All-time downloads

Public

Parameters

111M

443 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors443 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: cc-by-sa-4.0
Model type: bert
Access: Public
Created: Jan 13, 2025
Updated: Jan 13, 2025
SHA: 95d0e60f

Try a prompt

Base models

klue/bert-base

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of klue/bert-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3885
Accuracy: 0.876

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4805	1.0	1250	0.4454	0.864

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: bert
License: cc-by-sa-4.0
Created: Jan 13, 2025
Updated: Jan 13, 2025