README.md

metadata

library_name: transformers
base_model: CocoRoF/KoModernBERT-base-mlm-v04-retry-model-chp16
tags:
  - generated_from_trainer
model-index:
  - name: KoModernBERT-base-mlm-v04-retry-model-chp17
    results: []

KoModernBERT-base-mlm-v04-retry-model-chp17

This model is a fine-tuned version of CocoRoF/KoModernBERT-base-mlm-v04-retry-model-chp16 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.2298

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: 64
• total_train_batch_size: 2048
• total_eval_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
150.0454	0.2626	2500	2.3419
145.6239	0.5251	5000	2.2776
142.6396	0.7877	7500	2.2298

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0