---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finance_news_classifier-KR_v7
  results: []
language:
- ko
---

<!-- 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. -->

# finance_news_classifier-KR_v7

This model is a fine-tuned version of [Hyeonseo/ko-finance_news_classifier](https://huggingface.co/Hyeonseo/ko-finance_news_classifier) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2265
- Accuracy: 0.9701

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 243  | 0.1994          | 0.9608   |
| No log        | 2.0   | 486  | 0.1584          | 0.9660   |
| 0.1793        | 3.0   | 729  | 0.2011          | 0.9557   |
| 0.1793        | 4.0   | 972  | 0.2214          | 0.9629   |
| 0.085         | 5.0   | 1215 | 0.2885          | 0.9526   |
| 0.085         | 6.0   | 1458 | 0.2288          | 0.9660   |
| 0.0365        | 7.0   | 1701 | 0.2512          | 0.9619   |
| 0.0365        | 8.0   | 1944 | 0.2201          | 0.9670   |
| 0.0178        | 9.0   | 2187 | 0.2621          | 0.9598   |
| 0.0178        | 10.0  | 2430 | 0.2265          | 0.9701   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3