grow_classification_kcbert
This model is a fine-tuned version of beomi/kcbert-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4473
- Accuracy: 0.9307
- F1: 0.9293
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: 3e-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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.171 | 1.0 | 436 | 0.3674 | 0.9127 | 0.9113 |
| 0.0295 | 2.0 | 872 | 0.4799 | 0.9171 | 0.9150 |
| 0.0141 | 3.0 | 1308 | 0.4577 | 0.9285 | 0.9266 |
| 0.0087 | 4.0 | 1744 | 0.4352 | 0.9304 | 0.9291 |
| 0.0073 | 5.0 | 2180 | 0.4473 | 0.9307 | 0.9293 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3