---
library_name: transformers
license: apache-2.0
base_model: CocoRoF/KoModernBERT-chp-12
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-chp-13
  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-13

This model is a fine-tuned version of [CocoRoF/KoModernBERT-chp-12](https://huggingface.co/CocoRoF/KoModernBERT-chp-12) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7189

## 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-06
- 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 22.6033       | 0.2458 | 5000  | 2.8268          |
| 22.1713       | 0.4915 | 10000 | 2.7760          |
| 22.3855       | 0.7373 | 15000 | 2.7472          |
| 21.8066       | 0.9831 | 20000 | 2.7189          |


### Framework versions

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