---
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 was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3712
- Accuracy: 0.9453
- F1: 0.9325

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.4773        | 1.0   | 33   | 0.4666          | 0.9171   | 0.8976 |
| 0.4439        | 2.0   | 66   | 0.4404          | 0.9204   | 0.9011 |
| 0.438         | 3.0   | 99   | 0.4226          | 0.9270   | 0.9119 |
| 0.4065        | 4.0   | 132  | 0.4094          | 0.9287   | 0.9141 |
| 0.3882        | 5.0   | 165  | 0.3975          | 0.9287   | 0.9151 |
| 0.368         | 6.0   | 198  | 0.3886          | 0.9403   | 0.9279 |
| 0.3531        | 7.0   | 231  | 0.3812          | 0.9436   | 0.9312 |
| 0.3696        | 8.0   | 264  | 0.3762          | 0.9403   | 0.9276 |
| 0.3542        | 9.0   | 297  | 0.3718          | 0.9453   | 0.9329 |
| 0.3379        | 10.0  | 330  | 0.3712          | 0.9453   | 0.9325 |


### Framework versions

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