---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: KcELECTRA-small-v2022-finetuned-in-vehicle
  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. -->

# KcELECTRA-small-v2022-finetuned-in-vehicle

This model is a fine-tuned version of [beomi/KcELECTRA-small-v2022](https://huggingface.co/beomi/KcELECTRA-small-v2022) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2620
- Accuracy: 0.4033
- F1: 0.2471

## 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: 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 2.592         | 1.0   | 38   | 2.5666          | 0.18     | 0.0549 |
| 2.5555        | 2.0   | 76   | 2.5247          | 0.19     | 0.0725 |
| 2.5195        | 3.0   | 114  | 2.4783          | 0.3233   | 0.1821 |
| 2.4729        | 4.0   | 152  | 2.4296          | 0.36     | 0.2079 |
| 2.4326        | 5.0   | 190  | 2.3825          | 0.38     | 0.2220 |
| 2.3876        | 6.0   | 228  | 2.3407          | 0.3967   | 0.2318 |
| 2.3521        | 7.0   | 266  | 2.3069          | 0.3967   | 0.2331 |
| 2.3246        | 8.0   | 304  | 2.2815          | 0.3967   | 0.2346 |
| 2.3081        | 9.0   | 342  | 2.2669          | 0.4033   | 0.2468 |
| 2.2913        | 10.0  | 380  | 2.2620          | 0.4033   | 0.2471 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2