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

This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0138

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 142.1995      | 0.1007 | 500  | 4.4768          |
| 125.983       | 0.2014 | 1000 | 3.9783          |
| 116.4555      | 0.3021 | 1500 | 3.6975          |
| 112.8675      | 0.4028 | 2000 | 3.4999          |
| 108.9813      | 0.5035 | 2500 | 3.3531          |
| 103.8032      | 0.6042 | 3000 | 3.2479          |
| 101.6015      | 0.7049 | 3500 | 3.1531          |
| 98.1402       | 0.8056 | 4000 | 3.0711          |
| 95.7666       | 0.9063 | 4500 | 3.0138          |


### Framework versions

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