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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: kcbert-base-finetuned-code-classification-mid
    results: []

kcbert-base-finetuned-code-classification-mid

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

  • Loss: 0.2025
  • Accuracy: 0.9485
  • F1: 0.9474

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
0.2959 1.0 4931 0.2158 0.9442 0.9428
0.1656 2.0 9862 0.2025 0.9485 0.9474

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.13.3