DLthon_BERT

jhkim12/DLthon_BERT

DLthon_BERT is a text classification model from jhkim12. 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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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Oct 6, 2024
Updated: Oct 7, 2024
SHA: 68844cc8

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Base models

beomi/kcbert-base

Model card

From the Hugging Face model README

DLthon_BERT

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

Loss: 0.0353
F1: 0.9925

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
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	F1
No log	1.0	224	0.2364	0.9215
No log	2.0	448	0.1404	0.9546
0.326	3.0	672	0.0788	0.9799
0.326	4.0	896	0.0563	0.9862
0.0935	5.0	1120	0.0353	0.9925

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 6, 2024
Updated: Oct 7, 2024