---
library_name: transformers
license: apache-2.0
base_model: monologg/koelectra-base-v3-discriminator
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: koelectra-f1-bullying-classifier
  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-f1-bullying-classifier

This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6534
- F1: 0.8860

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.216         | 1.0   | 109  | 0.6775          | 0.8532 |
| 0.5172        | 2.0   | 218  | 0.4718          | 0.8483 |
| 0.3042        | 3.0   | 327  | 0.3439          | 0.8873 |
| 0.2072        | 4.0   | 436  | 0.3407          | 0.8878 |
| 0.1259        | 5.0   | 545  | 0.5322          | 0.8611 |
| 0.0951        | 6.0   | 654  | 0.4395          | 0.8908 |
| 0.069         | 7.0   | 763  | 0.4264          | 0.8878 |
| 0.0445        | 8.0   | 872  | 0.5069          | 0.8973 |
| 0.0252        | 9.0   | 981  | 0.5728          | 0.8916 |
| 0.025         | 10.0  | 1090 | 0.6534          | 0.8860 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1