KoModernBERT-large-mlm-v2

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

• Loss: 3.0138

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-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
142.1995	0.1007	500	4.4768
125.983	0.2014	1000	3.9783
116.4555	0.3021	1500	3.6975
112.8675	0.4028	2000	3.4999
108.9813	0.5035	2500	3.3531
103.8032	0.6042	3000	3.2479
101.6015	0.7049	3500	3.1531
98.1402	0.8056	4000	3.0711
95.7666	0.9063	4500	3.0138

Framework versions

• Transformers 4.49.0
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.1