KoModernBERT-base-mlm-v03-retry-ckp03
This model is a fine-tuned version of x2bee/KoModernBERT-base-mlm-v03-retry-ckp02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7058
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: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 13.9136 | 0.1346 | 5000 | 1.7381 |
| 13.7489 | 0.2692 | 10000 | 1.7310 |
| 14.0892 | 0.4038 | 15000 | 1.7245 |
| 14.0551 | 0.5384 | 20000 | 1.7202 |
| 13.5873 | 0.6730 | 25000 | 1.7127 |
| 13.4452 | 0.8076 | 30000 | 1.7086 |
| 14.1078 | 0.9422 | 35000 | 1.7058 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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