---
library_name: transformers
license: apache-2.0
base_model: x2bee/KoModernBERT-base-mlm-v01
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-base-mlm-v01-ckp01
  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-v01-ckp01

This model is a fine-tuned version of [x2bee/KoModernBERT-base-mlm-v01](https://huggingface.co/x2bee/KoModernBERT-base-mlm-v01) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7654

## 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: 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 25.1808       | 0.1051 | 1000 | 3.1264          |
| 24.5518       | 0.2102 | 2000 | 3.0455          |
| 23.9605       | 0.3153 | 3000 | nan             |
| 23.8549       | 0.4204 | 4000 | 2.9420          |
| 23.2944       | 0.5255 | 5000 | 2.9115          |
| 23.0988       | 0.6306 | 6000 | 2.8620          |
| 22.7786       | 0.7357 | 7000 | 2.8250          |
| 22.4325       | 0.8408 | 8000 | 2.7785          |
| 21.9527       | 0.9459 | 9000 | 2.7654          |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0