| library_name: transformers | |
| language: | |
| - ko | |
| license: apache-2.0 | |
| base_model: monologg/koelectra-base-v3-discriminator | |
| tags: | |
| - text-classification | |
| - KoELECTRA | |
| - Korean-NLP | |
| - topic-classification | |
| - news-classification | |
| - generated_from_trainer | |
| model-index: | |
| - name: ynat_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. --> | |
| # ynat_model | |
| This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the klue-ynat dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 2.0522 | |
| - eval_accuracy: 0.0917 | |
| - eval_precision: 0.0131 | |
| - eval_recall: 0.1429 | |
| - eval_f1: 0.0240 | |
| - eval_runtime: 14.6861 | |
| - eval_samples_per_second: 620.111 | |
| - eval_steps_per_second: 38.812 | |
| - epoch: 1.0 | |
| - step: 2855 | |
| ## 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: 5e-05 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 16 | |
| - 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: 3 | |
| ### Framework versions | |
| - Transformers 4.54.1 | |
| - Pytorch 2.6.0+cu124 | |
| - Datasets 4.0.0 | |
| - Tokenizers 0.21.4 | |