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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
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