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