KoModernBERT-large-mlm-v5

This model is a fine-tuned version of CocoRoF/KoModernBERT-large-mlm-v4 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2642

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
85.5465	0.1408	500	2.6791
82.6449	0.2816	1000	2.6099
79.3686	0.4224	1500	2.5271
78.2414	0.5632	2000	2.4419
76.5345	0.7040	2500	2.3606
74.4758	0.8448	3000	2.3106
72.6053	0.9856	3500	2.2642