kksgb3

joohwan/kksgb3

kksgb3 is a text classification model from joohwan. 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.

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

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Hugging Face

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 26, 2023
Updated: Jun 26, 2023
SHA: 5c10dc72

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Model card

From the Hugging Face model README

kksgb3

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

Loss: 0.9959
Accuracy: 0.8715
F1: 0.8694

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: 64
eval_batch_size: 64
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	F1
0.4946	1.0	450	0.7178	0.8030	0.8006
0.1395	2.0	900	0.7651	0.8392	0.8356
0.0687	3.0	1350	0.7080	0.8671	0.8647
0.0415	4.0	1800	1.0026	0.8390	0.8364
0.028	5.0	2250	0.8936	0.8552	0.8531
0.0195	6.0	2700	0.9869	0.8624	0.8601
0.0151	7.0	3150	0.9351	0.8652	0.8629
0.0122	8.0	3600	1.1198	0.8564	0.8536
0.0106	9.0	4050	0.9742	0.8751	0.8729
0.0095	10.0	4500	0.9959	0.8715	0.8694

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 26, 2023
Updated: Jun 26, 2023