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

# klue-mrc_koelectra_qa_model

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: 5.5957

## 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: 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 50   | 5.7950          |
| No log        | 2.0   | 100  | 5.6527          |
| No log        | 3.0   | 150  | 5.5957          |


### Framework versions

- Transformers 4.54.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4