---
library_name: transformers
base_model: CocoRoF/KoModernBERT-large-mlm-v22
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-large-mlm-v23
  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-large-mlm-v23

This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v22](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v22) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0628

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 1024
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 70.4372       | 0.1156 | 500  | 2.2211          |
| 69.2834       | 0.2312 | 1000 | 2.2037          |
| 68.5161       | 0.3468 | 1500 | 2.1771          |
| 69.8878       | 0.4623 | 2000 | 2.1396          |
| 69.3379       | 0.5779 | 2500 | 2.1180          |
| 67.2487       | 0.6935 | 3000 | 2.0976          |
| 66.1262       | 0.8091 | 3500 | 2.0809          |
| 66.7275       | 0.9247 | 4000 | 2.0628          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1