KoModernBERT
Collection
Fine-Tune ModernBERT for Korean Language Processing • 5 items • Updated
• 1
KoModernBERT-base-mlm-ecs_v03
This model is a fine-tuned version of x2bee/KoModernBERT-base-mlm-ecs_v01 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2827
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 |
|---|---|---|---|
| 4.7096 | 0.8753 | 250 | 0.2983 |
| 4.3635 | 1.7527 | 500 | 0.2827 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Downloads last month
- 2