metadata
library_name: transformers
license: apache-2.0
base_model: CocoRoF/KoModernBERT-large-mlm-v3
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-large-mlm-v4
results: []
KoModernBERT-large-mlm-v4
This model is a fine-tuned version of CocoRoF/KoModernBERT-large-mlm-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3958
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 |
|---|---|---|---|
| 93.6705 | 0.1408 | 500 | 2.9535 |
| 89.8639 | 0.2816 | 1000 | 2.8383 |
| 85.7463 | 0.4224 | 1500 | 2.7230 |
| 84.6276 | 0.5632 | 2000 | 2.6153 |
| 80.9724 | 0.7040 | 2500 | 2.5142 |
| 78.6488 | 0.8448 | 3000 | 2.4494 |
| 76.5932 | 0.9856 | 3500 | 2.3958 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1