KoModernBERT-large-mlm-v19

This model is a fine-tuned version of CocoRoF/KoModernBERT-large-mlm-v18 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan

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: 1e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 32
total_train_batch_size: 1024
total_eval_batch_size: 16
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
75.7812	0.1156	500	nan
76.0172	0.2312	1000	nan
73.3032	0.3468	1500	nan
73.9782	0.4624	2000	nan
72.5503	0.5779	2500	nan
69.7412	0.6935	3000	nan
69.1634	0.8091	3500	nan
67.362	0.9247	4000	nan