model_output

pongDang/model_output

model_output is a text classification model from pongDang. 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 10, 2024
Updated: Oct 10, 2024
SHA: 5524c181

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Base models

beomi/kcbert-base

Model card

From the Hugging Face model README

model_output

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

Loss: 0.1306
Lrap: 0.8798

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Lrap
No log	1.0	235	0.1466	0.8608
No log	2.0	470	0.1288	0.8711
0.1708	3.0	705	0.1236	0.8819
0.1708	4.0	940	0.1303	0.8788
0.0776	5.0	1175	0.1306	0.8798

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 10, 2024
Updated: Oct 10, 2024