| library_name: transformers | |
| license: apache-2.0 | |
| base_model: beomi/kcbert-base | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - f1 | |
| model-index: | |
| - name: DLthon_BERT | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # DLthon_BERT | |
| This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0353 | |
| - F1: 0.9925 | |
| ## 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 | 224 | 0.2364 | 0.9215 | | |
| | No log | 2.0 | 448 | 0.1404 | 0.9546 | | |
| | 0.326 | 3.0 | 672 | 0.0788 | 0.9799 | | |
| | 0.326 | 4.0 | 896 | 0.0563 | 0.9862 | | |
| | 0.0935 | 5.0 | 1120 | 0.0353 | 0.9925 | | |
| ### Framework versions | |
| - Transformers 4.44.2 | |
| - Pytorch 2.4.1+cu121 | |
| - Tokenizers 0.19.1 | |