README.md

metadata

license: cc-by-sa-4.0
base_model: klue/bert-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: nmsc_classifier
    results: []

nmsc_classifier

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

• Loss: 0.3765
• Accuracy: 0.9015
• F1: 0.9030
• Precision: 0.8956
• Recall: 0.9105
• Auroc: 0.9014

Model description

KLUE/BERT를 사용해 네이버 영화 리뷰 데이터셋에 대한 이진분류 수행

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.5.1+cu124
• Datasets 2.20.0
• Tokenizers 0.19.1