| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: beomi/kcbert-base |
| | tags: |
| | - HHD |
| | - 10_class |
| | - multi_label |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert_model |
| | 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. --> |
| |
|
| | # bert_model |
| | |
| | This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the unsmile_labels dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1312 |
| | - Lrap: 0.8810 |
| |
|
| | ## 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 | 0.1477 | 0.8598 | |
| | | No log | 2.0 | 470 | 0.1287 | 0.8733 | |
| | | 0.1739 | 3.0 | 705 | 0.1238 | 0.8806 | |
| | | 0.1739 | 4.0 | 940 | 0.1296 | 0.8787 | |
| | | 0.0776 | 5.0 | 1175 | 0.1312 | 0.8810 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.48.3 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.3.0 |
| | - Tokenizers 0.21.0 |
| |
|
