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kcbert-base-finetuned-code-classification-major

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: 0.1646
  • Accuracy: 0.9541
  • F1: 0.9539

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: 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: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.2214 1.0 4931 0.1720 0.9525 0.9523
0.1309 2.0 9862 0.1646 0.9541 0.9539

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.1.0+cu118
  • Tokenizers 0.13.3
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