bert_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: bert_model
    results: []

bert_model

This model is a fine-tuned version of beomi/kcbert-base on the unsmile dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1587
  • Lrap: 0.8738

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 Lrap
No log 1.0 235 0.1371 0.8745
No log 2.0 470 0.1507 0.8690
0.0497 3.0 705 0.1537 0.8705
0.0497 4.0 940 0.1597 0.8723
0.0265 5.0 1175 0.1587 0.8738

Framework versions

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