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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: CocoRoF/KoModernBERT-large-mlm-v15 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: KoModernBERT-large-mlm-v16 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# KoModernBERT-large-mlm-v16 |
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This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v15](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v15) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 1024 |
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- total_eval_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 107.2841 | 0.1156 | 500 | nan | |
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| 100.4596 | 0.2312 | 1000 | nan | |
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| 94.4057 | 0.3468 | 1500 | nan | |
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| 92.7521 | 0.4624 | 2000 | nan | |
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| 90.572 | 0.5779 | 2500 | nan | |
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| 85.9783 | 0.6935 | 3000 | nan | |
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| 83.7885 | 0.8091 | 3500 | nan | |
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| 83.3313 | 0.9247 | 4000 | nan | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.1 |
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