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KoSBi_classifier_v1

Text Classification
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electra
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KoSBi_classifier_v1 / README.md
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metadata
license: mit
base_model: beomi/KcELECTRA-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: KoSBi_classifier_v1
    results: []

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