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CocoRoF/
KoModernBERT-large-mlm-v6

Name: KoModernBERT-large-mlm-v6
Availability: InStock

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CocoRoF/KoModernBERT-large-mlm-v5

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KoModernBERT-large-mlm-v6

This model is a fine-tuned version of CocoRoF/KoModernBERT-large-mlm-v5 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.1584

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
80.8763	0.1234	500	2.5507
78.7785	0.2468	1000	2.4990
75.7859	0.3702	1500	2.4332
76.5856	0.4936	2000	2.3560
74.619	0.6170	2500	2.2908
71.1105	0.7404	3000	2.2378
71.6094	0.8638	3500	2.1937
69.2675	0.9872	4000	2.1584

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.1

CocoRoF/KoModernBERT-large-mlm-v6

KoModernBERT-large-mlm-v6

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

CocoRoF/
KoModernBERT-large-mlm-v6