---
library_name: transformers
license: apache-2.0
base_model: CocoRoF/KoModernBERT-large-mlm-v2
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-large-mlm-v3
  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-v3

This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v2](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3605

## 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: 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 |
|:-------------:|:------:|:----:|:---------------:|
| 97.07         | 0.0599 | 500  | 3.0658          |
| 97.6329       | 0.1199 | 1000 | 3.0890          |
| 94.2036       | 0.1798 | 1500 | 2.9848          |
| 93.88         | 0.2397 | 2000 | 2.8945          |
| 91.2063       | 0.2997 | 2500 | 2.8105          |
| 88.1768       | 0.3596 | 3000 | 2.7460          |
| 86.8633       | 0.4196 | 3500 | 2.6891          |
| 84.4198       | 0.4795 | 4000 | 2.6377          |
| 81.6633       | 0.5394 | 4500 | 2.5888          |
| 81.2498       | 0.5994 | 5000 | 2.5427          |
| 79.082        | 0.6593 | 5500 | 2.5001          |
| 78.3493       | 0.7192 | 6000 | 2.4693          |
| 77.7304       | 0.7792 | 6500 | 2.4339          |
| 77.1332       | 0.8391 | 7000 | 2.4003          |
| 75.6454       | 0.8990 | 7500 | 2.3795          |
| 74.7334       | 0.9590 | 8000 | 2.3605          |


### Framework versions

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