large-try Done
Browse files- README.md +71 -0
- model.safetensors +1 -1
README.md
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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-v6
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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-v7
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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-v7
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This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v6](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v6) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0955
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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: 2e-06
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 32
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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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| 77.1054 | 0.1234 | 500 | 2.4118 |
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| 75.8158 | 0.2468 | 1000 | 2.3831 |
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| 73.7255 | 0.3702 | 1500 | 2.3254 |
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| 73.1189 | 0.4936 | 2000 | 2.2686 |
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| 72.5825 | 0.6170 | 2500 | 2.2089 |
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| 69.4903 | 0.7404 | 3000 | 2.1620 |
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| 66.1489 | 0.8638 | 3500 | 2.1251 |
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| 67.4716 | 0.9872 | 4000 | 2.0955 |
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 791869518
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd07c9fc070e2d21a3208e7b6eab8647414795817e4a5fae9f5f46b0d40ec9c7
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size 791869518
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