KoModernBERT-large-mlm-v6
This model is a fine-tuned version of CocoRoF/KoModernBERT-large-mlm-v5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1584
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: 2e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 1024
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-07 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 |
|---|---|---|---|
| 80.8763 | 0.1234 | 500 | 2.5507 |
| 78.7785 | 0.2468 | 1000 | 2.4990 |
| 75.7859 | 0.3702 | 1500 | 2.4332 |
| 76.5856 | 0.4936 | 2000 | 2.3560 |
| 74.619 | 0.6170 | 2500 | 2.2908 |
| 71.1105 | 0.7404 | 3000 | 2.2378 |
| 71.6094 | 0.8638 | 3500 | 2.1937 |
| 69.2675 | 0.9872 | 4000 | 2.1584 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1
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