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KoSBi_classifier_v1

Text Classification

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KoSBi_classifier_v1

This model is a fine-tuned version of beomi/KcELECTRA-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4059
Accuracy: 0.8078

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4457	1.0	1700	0.4230	0.7934
0.3779	2.0	3400	0.4059	0.8078

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

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Safetensors

Model size

0.1B params

Tensor type

F32

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