metadata
library_name: transformers
license: apache-2.0
base_model: CocoRoF/KoModernBERT
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT
results: []
KoModernBERT
This model is a fine-tuned version of CocoRoF/KoModernBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3473
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-05
- 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: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 26.6178 | 0.0928 | 5000 | 3.3099 |
| 23.887 | 0.1856 | 10000 | 2.9665 |
| 22.3186 | 0.2784 | 15000 | 2.7910 |
| 21.6275 | 0.3711 | 20000 | 2.6757 |
| 20.7564 | 0.4639 | 25000 | 2.5967 |
| 20.0201 | 0.5567 | 30000 | 2.5263 |
| 19.7037 | 0.6495 | 35000 | 2.4709 |
| 19.2119 | 0.7423 | 40000 | 2.4196 |
| 19.053 | 0.8351 | 45000 | 2.3825 |
| 18.7262 | 0.9279 | 50000 | 2.3473 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0