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
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Evaluation results