---
library_name: transformers
license: apache-2.0
base_model: CocoRoF/KoModernBERT-large-mlm-v6
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-large-mlm-v7
  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-v7

This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v6](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0955

## 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: 2e-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 |
|:-------------:|:------:|:----:|:---------------:|
| 77.1054       | 0.1234 | 500  | 2.4118          |
| 75.8158       | 0.2468 | 1000 | 2.3831          |
| 73.7255       | 0.3702 | 1500 | 2.3254          |
| 73.1189       | 0.4936 | 2000 | 2.2686          |
| 72.5825       | 0.6170 | 2500 | 2.2089          |
| 69.4903       | 0.7404 | 3000 | 2.1620          |
| 66.1489       | 0.8638 | 3500 | 2.1251          |
| 67.4716       | 0.9872 | 4000 | 2.0955          |


### Framework versions

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