large-try Done
Browse files- README.md +70 -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-v3
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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-v4
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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-v4
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This model is a fine-tuned version of [CocoRoF/KoModernBERT-large-mlm-v3](https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v3) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3958
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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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| 93.6705 | 0.1408 | 500 | 2.9535 |
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| 89.8639 | 0.2816 | 1000 | 2.8383 |
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| 85.7463 | 0.4224 | 1500 | 2.7230 |
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| 84.6276 | 0.5632 | 2000 | 2.6153 |
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| 80.9724 | 0.7040 | 2500 | 2.5142 |
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| 78.6488 | 0.8448 | 3000 | 2.4494 |
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| 76.5932 | 0.9856 | 3500 | 2.3958 |
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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
CHANGED
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@@ -1,3 +1,3 @@
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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 sha256:2dad5d1ea09c63ab7d5f3ba9221ee56d62cd789775e2f202a16cd85defc192cb
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size 791869518
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