---
library_name: transformers
base_model: CocoRoF/KoModernBERT-base-mlm-v04-retry-model-chp10
tags:
- generated_from_trainer
datasets:
- miracl-corpus
model-index:
- name: KoModernBERT-base-mlm-v04-retry-model-chp11
  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-chp11

This model is a fine-tuned version of [CocoRoF/KoModernBERT-base-mlm-v04-retry-model-chp10](https://huggingface.co/CocoRoF/KoModernBERT-base-mlm-v04-retry-model-chp10) on the miracl-corpus dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6514

## 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 64
- total_train_batch_size: 2048
- total_eval_batch_size: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 112.1792      | 0.1413 | 100  | 1.7653          |
| 110.9146      | 0.2826 | 200  | 1.7264          |
| 109.9796      | 0.4239 | 300  | 1.7024          |
| 107.8193      | 0.5651 | 400  | 1.6842          |
| 106.8794      | 0.7064 | 500  | 1.6747          |
| 106.3015      | 0.8477 | 600  | 1.6712          |
| 106.583       | 0.9890 | 700  | 1.6514          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0