---
library_name: transformers
base_model: monologg/koelectra-small-finetuned-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: koelectra_emotion_v4
  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. -->

# koelectra_emotion_v4

This model is a fine-tuned version of [monologg/koelectra-small-finetuned-sentiment](https://huggingface.co/monologg/koelectra-small-finetuned-sentiment) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3443
- Accuracy: 0.5678
- F1: 0.5658

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.8003        | 1.0   | 598  | 1.5736          | 0.4017   | 0.3661 |
| 1.4448        | 2.0   | 1196 | 1.3784          | 0.4973   | 0.4848 |
| 1.2459        | 3.0   | 1794 | 1.2953          | 0.5323   | 0.5219 |
| 1.1153        | 4.0   | 2392 | 1.2637          | 0.5536   | 0.5506 |
| 1.0145        | 5.0   | 2990 | 1.2860          | 0.5585   | 0.5543 |
| 0.9391        | 6.0   | 3588 | 1.2813          | 0.5650   | 0.5642 |
| 0.8732        | 7.0   | 4186 | 1.3113          | 0.5662   | 0.5644 |
| 0.8311        | 8.0   | 4784 | 1.3305          | 0.5681   | 0.5676 |
| 0.807         | 9.0   | 5382 | 1.3444          | 0.5679   | 0.5659 |
| 0.7933        | 10.0  | 5980 | 1.3443          | 0.5678   | 0.5658 |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0