DLthon_BERT_3
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: 0.0562
- F1: 0.9905
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- 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 | F1 |
|---|---|---|---|---|
| No log | 1.0 | 178 | 0.3384 | 0.8918 |
| No log | 2.0 | 356 | 0.2190 | 0.9425 |
| 0.4141 | 3.0 | 534 | 0.0874 | 0.9748 |
| 0.4141 | 4.0 | 712 | 0.0634 | 0.9858 |
| 0.4141 | 5.0 | 890 | 0.0562 | 0.9905 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1
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Model tree for jhkim12/DLthon_BERT_3
Base model
beomi/kcbert-base