metadata
library_name: transformers
license: apache-2.0
base_model: x2bee/KoModernBERT-base-mlm-v02-ckp02
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-base-mlm-v02-ckp02
results: []
KoModernBERT-base-mlm-v02-ckp02
This model is a fine-tuned version of x2bee/KoModernBERT-base-mlm-v02-ckp02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6437
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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 14.3633 | 0.0986 | 3000 | 1.7944 |
| 14.0205 | 0.1973 | 6000 | 1.7638 |
| 14.0391 | 0.2959 | 9000 | 1.7430 |
| 13.8014 | 0.3946 | 12000 | 1.7255 |
| 13.6803 | 0.4932 | 15000 | 1.7118 |
| 13.5763 | 0.5919 | 18000 | 1.6961 |
| 13.4827 | 0.6905 | 21000 | 1.6824 |
| 13.3855 | 0.7892 | 24000 | 1.6700 |
| 13.2238 | 0.8878 | 27000 | 1.6558 |
| 13.0954 | 0.9865 | 30000 | 1.6437 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0