---
base_model: snunlp/KR-Medium
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_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. -->

# test_model

This model is a fine-tuned version of [snunlp/KR-Medium](https://huggingface.co/snunlp/KR-Medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3382
- Accuracy: 0.6372

## 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0161        | 0.5   | 100  | 0.8929          | 0.6428   |
| 0.8861        | 1.0   | 200  | 0.8755          | 0.6526   |
| 0.6894        | 1.49  | 300  | 0.8906          | 0.6435   |
| 0.6773        | 1.99  | 400  | 0.8928          | 0.6585   |
| 0.4686        | 2.49  | 500  | 1.0231          | 0.6340   |
| 0.4645        | 2.99  | 600  | 1.0166          | 0.6424   |
| 0.295         | 3.48  | 700  | 1.1859          | 0.6351   |
| 0.2764        | 3.98  | 800  | 1.2167          | 0.6368   |
| 0.185         | 4.48  | 900  | 1.3204          | 0.6312   |
| 0.1775        | 4.98  | 1000 | 1.3382          | 0.6372   |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.13.3