| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: neg_komrc_train | |
| 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. --> | |
| # neg_komrc_train | |
| This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4016 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - seed: 1234 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:---------------:| | |
| | 0.277 | 0.51 | 10000 | 0.4016 | | |
| | 0.1671 | 1.03 | 20000 | 0.4116 | | |
| | 0.1725 | 1.54 | 30000 | 0.4390 | | |
| | 0.0868 | 2.06 | 40000 | 0.5147 | | |
| | 0.0868 | 2.57 | 50000 | 0.5064 | | |
| ### Framework versions | |
| - Transformers 4.13.0 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 1.18.4 | |
| - Tokenizers 0.10.3 | |