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/BERT๋ฅผ ์ฌ์ฉํด ๋ค์ด๋ฒ ์ํ ๋ฆฌ๋ทฐ ๋ฐ์ดํฐ์ ์ ๋ํ ์ด์ง๋ถ๋ฅ ์ํ
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
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Model tree for darkBrother/nmsc_classifier
Base model
klue/bert-base