my_doccls_korean_model
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: 0.5416
- Accuracy: 0.8856
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5834 | 1.0 | 37500 | 0.5604 | 0.8323 |
| 0.4454 | 2.0 | 75000 | 0.4939 | 0.8739 |
| 0.3675 | 3.0 | 112500 | 0.5165 | 0.8819 |
| 0.3438 | 4.0 | 150000 | 0.5416 | 0.8856 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for dudu1021/my_doccls_korean_model
Base model
beomi/kcbert-base