| | --- |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - korquad |
| | model-index: |
| | - name: 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. --> |
| |
|
| | # komrc_train |
| | |
| | This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the korquad dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6544 |
| | |
| | ## 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 | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 0.8187 | 0.31 | 2000 | 0.7377 | |
| | | 0.6947 | 0.63 | 4000 | 0.6934 | |
| | | 0.6352 | 0.94 | 6000 | 0.6544 | |
| | | 0.3869 | 1.25 | 8000 | 0.7633 | |
| | | 0.3812 | 1.56 | 10000 | 0.7047 | |
| | | 0.3579 | 1.88 | 12000 | 0.7097 | |
| | | 0.2053 | 2.19 | 14000 | 0.8511 | |
| | | 0.2173 | 2.5 | 16000 | 0.8457 | |
| | | 0.2094 | 2.82 | 18000 | 0.8433 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.13.0 |
| | - Pytorch 1.10.0+cu111 |
| | - Datasets 1.18.4 |
| | - Tokenizers 0.10.3 |
| | |
