metadata
library_name: transformers
license: apache-2.0
base_model: CocoRoF/KoModernBERT-large-mlm-v6
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-large-mlm-v7
results: []
KoModernBERT-large-mlm-v7
This model is a fine-tuned version of CocoRoF/KoModernBERT-large-mlm-v6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0955
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 |
|---|---|---|---|
| 77.1054 | 0.1234 | 500 | 2.4118 |
| 75.8158 | 0.2468 | 1000 | 2.3831 |
| 73.7255 | 0.3702 | 1500 | 2.3254 |
| 73.1189 | 0.4936 | 2000 | 2.2686 |
| 72.5825 | 0.6170 | 2500 | 2.2089 |
| 69.4903 | 0.7404 | 3000 | 2.1620 |
| 66.1489 | 0.8638 | 3500 | 2.1251 |
| 67.4716 | 0.9872 | 4000 | 2.0955 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1