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KoModernBERT-chp-13
CocoRoF/KoModernBERT-chp-13
KoModernBERT-chp-13 is a fill-mask model from CocoRoF. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Jan 31, 2025
- Updated
- Jan 31, 2025
- SHA
- 8ca8a176
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
KoModernBERT-chp-13
This model is a fine-tuned version of CocoRoF/KoModernBERT-chp-12 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7189
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- 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 |
|---|---|---|---|
| 22.6033 | 0.2458 | 5000 | 2.8268 |
| 22.1713 | 0.4915 | 10000 | 2.7760 |
| 22.3855 | 0.7373 | 15000 | 2.7472 |
| 21.8066 | 0.9831 | 20000 | 2.7189 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Jan 31, 2025
- Updated
- Jan 31, 2025