---
library_name: transformers
license: apache-2.0
base_model: x2bee/KoModernBERT-base-mlm-ecs_v03
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-base-mlm-ecs_V01
  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-ecs_V01

This model is a fine-tuned version of [x2bee/KoModernBERT-base-mlm-ecs_v03](https://huggingface.co/x2bee/KoModernBERT-base-mlm-ecs_v03) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2652

## 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: 5e-05
- 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: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.2085        | 1.3099 | 250  | 0.2652          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0