---
library_name: transformers
license: apache-2.0
base_model: CocoRoF/KoModernBERT-chp-04
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-chp-05
  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. -->

# KoModernBERT-chp-05

This model is a fine-tuned version of [CocoRoF/KoModernBERT-chp-04](https://huggingface.co/CocoRoF/KoModernBERT-chp-04) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0829

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- 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: 1.0

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 17.9483       | 0.0904 | 5000  | 2.1860          |
| 17.4604       | 0.1808 | 10000 | 2.1737          |
| 17.2613       | 0.2712 | 15000 | 2.1614          |
| 17.3945       | 0.3616 | 20000 | 2.1502          |
| 16.9544       | 0.4520 | 25000 | 2.1386          |
| 16.8142       | 0.5424 | 30000 | 2.1271          |
| 16.7899       | 0.6329 | 35000 | 2.1153          |
| 16.9125       | 0.7233 | 40000 | 2.1080          |
| 16.954        | 0.8137 | 45000 | 2.1012          |
| 16.6773       | 0.9041 | 50000 | 2.0931          |
| 16.8028       | 0.9945 | 55000 | 2.0829          |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0