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metadata
library_name: transformers
license: apache-2.0
base_model: beomi/kcbert-base
tags:
  - HHD
  - 10_class
  - multi_label
  - generated_from_trainer
model-index:
  - name: model_output
    results: []

model_output

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: 0.1312
  • Lrap: 0.8788

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: 5

Training results

Training Loss Epoch Step Validation Loss Lrap
No log 1.0 235 0.1503 0.8536
No log 2.0 470 0.1290 0.8737
0.1713 3.0 705 0.1241 0.8791
0.1713 4.0 940 0.1297 0.8780
0.0782 5.0 1175 0.1312 0.8788

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.0.2
  • Tokenizers 0.19.1