model_output
This model is a fine-tuned version of beomi/kcbert-base on the unsmild_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.1291
- Lrap: 0.8815
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 | 0.1507 | 0.8516 |
| No log | 2.0 | 470 | 0.1294 | 0.8718 |
| 0.1742 | 3.0 | 705 | 0.1231 | 0.8802 |
| 0.1742 | 4.0 | 940 | 0.1274 | 0.8801 |
| 0.0804 | 5.0 | 1175 | 0.1291 | 0.8815 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Base model
beomi/kcbert-base