best_model / README.md
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metadata
library_name: transformers
license: apache-2.0
base_model: beomi/kcbert-base
tags:
  - HHD
  - 10_class
  - multi_labels
  - generated_from_trainer
model-index:
  - name: best_model
    results: []

best_model

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: 0.1612
  • Irap: 0.8752

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Irap
No log 1.0 235 0.1512 0.8600
No log 2.0 470 0.1490 0.8709
0.0441 3.0 705 0.1542 0.8756
0.0441 4.0 940 0.1614 0.8734
0.0247 5.0 1175 0.1612 0.8752

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.0
  • Tokenizers 0.21.0