---
library_name: transformers
license: apache-2.0
base_model: CocoRoF/KoModernBERT-large-mlm-v7
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-large-mlm-v8
  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-v8

This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v7](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v7) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9913

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 70.789        | 0.0599 | 500  | 2.2607          |
| 73.2966       | 0.1199 | 1000 | 2.3530          |
| 72.0969       | 0.1798 | 1500 | 2.3316          |
| 73.4429       | 0.2397 | 2000 | 2.3031          |
| 72.2721       | 0.2997 | 2500 | 2.2628          |
| 70.2865       | 0.3596 | 3000 | 2.2342          |
| 70.2067       | 0.4196 | 3500 | 2.2033          |
| 68.5196       | 0.4795 | 4000 | 2.1734          |
| 66.5987       | 0.5394 | 4500 | 2.1468          |
| 66.429        | 0.5994 | 5000 | 2.1171          |
| 65.128        | 0.6593 | 5500 | 2.0887          |
| 65.0296       | 0.7192 | 6000 | 2.0684          |
| 64.7926       | 0.7792 | 6500 | 2.0442          |
| 64.4718       | 0.8391 | 7000 | 2.0191          |
| 63.3394       | 0.8990 | 7500 | 2.0055          |
| 62.7926       | 0.9590 | 8000 | 1.9913          |


### Framework versions

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