| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: team-lucid/hubert-base-korean |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: for_test13 |
| 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. --> |
|
|
| # for_test13 |
| |
| This model is a fine-tuned version of [team-lucid/hubert-base-korean](https://huggingface.co/team-lucid/hubert-base-korean) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 9.0800 |
| - Per: 0.8663 |
| - Learning Rate: 0.0000 |
| |
| ## 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: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 64 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 20 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Per | Rate | |
| |:-------------:|:------:|:----:|:---------------:|:------:|:------:| |
| | 9.8433 | 1.0417 | 50 | 10.8927 | 1.9730 | 0.0001 | |
| | 6.2994 | 2.0833 | 100 | 10.1801 | 1.4889 | 0.0001 | |
| | 5.6979 | 3.125 | 150 | 9.8748 | 1.1627 | 0.0001 | |
| | 5.5696 | 4.1667 | 200 | 9.6279 | 0.9856 | 0.0001 | |
| | 5.5354 | 5.2083 | 250 | 9.4447 | 0.9282 | 0.0001 | |
| | 5.3749 | 6.25 | 300 | 9.3013 | 0.8952 | 4e-05 | |
| | 5.6517 | 7.2917 | 350 | 9.1784 | 0.8771 | 0.0000 | |
| | 5.1293 | 8.3333 | 400 | 9.0618 | 0.8661 | 0.0000 | |
| | 5.5912 | 9.375 | 450 | 9.0800 | 0.8663 | 0.0000 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.2 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
| |
