KoModernBERT-base-mlm-v04-retry-model-chp05
This model is a fine-tuned version of CocoRoF/KoModernBERT-base-mlm-v04-retry-model-chp04 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5743
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: 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: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 25.1942 | 0.1808 | 2500 | 1.5825 |
| 25.2173 | 0.3616 | 5000 | 1.5813 |
| 25.2915 | 0.5424 | 7500 | 1.5818 |
| 24.5491 | 0.7233 | 10000 | 1.5766 |
| 24.9374 | 0.9041 | 12500 | 1.5743 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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