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

This model is a fine-tuned version of [CocoRoF/KoModernBERT](https://huggingface.co/CocoRoF/KoModernBERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3473

## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 26.6178       | 0.0928 | 5000  | 3.3099          |
| 23.887        | 0.1856 | 10000 | 2.9665          |
| 22.3186       | 0.2784 | 15000 | 2.7910          |
| 21.6275       | 0.3711 | 20000 | 2.6757          |
| 20.7564       | 0.4639 | 25000 | 2.5967          |
| 20.0201       | 0.5567 | 30000 | 2.5263          |
| 19.7037       | 0.6495 | 35000 | 2.4709          |
| 19.2119       | 0.7423 | 40000 | 2.4196          |
| 19.053        | 0.8351 | 45000 | 2.3825          |
| 18.7262       | 0.9279 | 50000 | 2.3473          |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0