---
library_name: transformers
base_model: monologg/koelectra-small-discriminator
tags:
- generated_from_trainer
model-index:
- name: koelectra-samll-klue-mrc
  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. -->

# koelectra-samll-klue-mrc

This model is a fine-tuned version of [monologg/koelectra-small-discriminator](https://huggingface.co/monologg/koelectra-small-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6956

## 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: 64
- eval_batch_size: 64
- 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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 3    | 1.8687          |
| No log        | 2.0   | 6    | 1.8565          |
| No log        | 3.0   | 9    | 1.8483          |
| No log        | 4.0   | 12   | 1.8408          |
| No log        | 5.0   | 15   | 1.8276          |
| No log        | 6.0   | 18   | 1.8200          |
| No log        | 7.0   | 21   | 1.8148          |
| No log        | 8.0   | 24   | 1.8055          |
| No log        | 9.0   | 27   | 1.7952          |
| No log        | 10.0  | 30   | 1.7888          |
| No log        | 11.0  | 33   | 1.7829          |
| No log        | 12.0  | 36   | 1.7767          |
| No log        | 13.0  | 39   | 1.7709          |
| No log        | 14.0  | 42   | 1.7642          |
| No log        | 15.0  | 45   | 1.7585          |
| No log        | 16.0  | 48   | 1.7538          |
| No log        | 17.0  | 51   | 1.7495          |
| No log        | 18.0  | 54   | 1.7446          |
| No log        | 19.0  | 57   | 1.7393          |
| No log        | 20.0  | 60   | 1.7357          |
| No log        | 21.0  | 63   | 1.7321          |
| No log        | 22.0  | 66   | 1.7276          |
| No log        | 23.0  | 69   | 1.7239          |
| No log        | 24.0  | 72   | 1.7208          |
| No log        | 25.0  | 75   | 1.7178          |
| No log        | 26.0  | 78   | 1.7149          |
| No log        | 27.0  | 81   | 1.7126          |
| No log        | 28.0  | 84   | 1.7100          |
| No log        | 29.0  | 87   | 1.7077          |
| No log        | 30.0  | 90   | 1.7060          |
| No log        | 31.0  | 93   | 1.7047          |
| No log        | 32.0  | 96   | 1.7029          |
| No log        | 33.0  | 99   | 1.7010          |
| No log        | 34.0  | 102  | 1.6994          |
| No log        | 35.0  | 105  | 1.6982          |
| No log        | 36.0  | 108  | 1.6973          |
| No log        | 37.0  | 111  | 1.6967          |
| No log        | 38.0  | 114  | 1.6961          |
| No log        | 39.0  | 117  | 1.6957          |
| No log        | 40.0  | 120  | 1.6956          |


### Framework versions

- Transformers 4.53.2
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2