---
library_name: transformers
base_model: CocoRoF/KoModernBERT-base-mlm-v04-retry-model-chp04
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-base-mlm-v04-retry-model-chp05
  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-base-mlm-v04-retry-model-chp05

This model is a fine-tuned version of [CocoRoF/KoModernBERT-base-mlm-v04-retry-model-chp04](https://huggingface.co/CocoRoF/KoModernBERT-base-mlm-v04-retry-model-chp04) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5743

## 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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 2048
- 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
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 25.1942       | 0.1808 | 2500  | 1.5825          |
| 25.2173       | 0.3616 | 5000  | 1.5813          |
| 25.2915       | 0.5424 | 7500  | 1.5818          |
| 24.5491       | 0.7233 | 10000 | 1.5766          |
| 24.9374       | 0.9041 | 12500 | 1.5743          |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0