metadata
library_name: transformers
license: apache-2.0
base_model: CocoRoF/KoModernBERT-large-mlm
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-large-mlm-v2
results: []
KoModernBERT-large-mlm-v2
This model is a fine-tuned version of CocoRoF/KoModernBERT-large-mlm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0138
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: 32
- total_train_batch_size: 1024
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-07 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 |
|---|---|---|---|
| 142.1995 | 0.1007 | 500 | 4.4768 |
| 125.983 | 0.2014 | 1000 | 3.9783 |
| 116.4555 | 0.3021 | 1500 | 3.6975 |
| 112.8675 | 0.4028 | 2000 | 3.4999 |
| 108.9813 | 0.5035 | 2500 | 3.3531 |
| 103.8032 | 0.6042 | 3000 | 3.2479 |
| 101.6015 | 0.7049 | 3500 | 3.1531 |
| 98.1402 | 0.8056 | 4000 | 3.0711 |
| 95.7666 | 0.9063 | 4500 | 3.0138 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1