| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: beomi/kcbert-base |
| | tags: |
| | - Lee |
| | - 10_class |
| | - text-classification |
| | - generated_from_trainer |
| | model-index: |
| | - name: model_output |
| | 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. --> |
| |
|
| | # model_output |
| | |
| | This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the unsmile dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1306 |
| | - Lrap: 0.8797 |
| | |
| | ## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Lrap | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | No log | 1.0 | 235 | 0.1451 | 0.8628 | |
| | | No log | 2.0 | 470 | 0.1281 | 0.8720 | |
| | | 0.1686 | 3.0 | 705 | 0.1244 | 0.8801 | |
| | | 0.1686 | 4.0 | 940 | 0.1284 | 0.8800 | |
| | | 0.0766 | 5.0 | 1175 | 0.1306 | 0.8797 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.48.2 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| | |
