Model save

README.md

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+---
+library_name: transformers
+base_model: yangwooko/smartmind-cyberone-20250405
+tags:
+- generated_from_trainer
+model-index:
+- name: smartmind-cyberone-20250507-0420-revisit
+  results: []
+---
+
+<!-- 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. -->
+
+# smartmind-cyberone-20250507-0420-revisit
+
+This model is a fine-tuned version of [yangwooko/smartmind-cyberone-20250405](https://huggingface.co/yangwooko/smartmind-cyberone-20250405) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0135
+
+## 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: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 4096
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0153        | 0.3527 | 30   | 0.0180          |
+| 0.0161        | 0.7054 | 60   | 0.0312          |
+| 0.0207        | 1.0470 | 90   | 0.0364          |
+| 0.0285        | 1.3997 | 120  | 0.0227          |
+| 0.0211        | 1.7524 | 150  | 0.0218          |
+| 0.0161        | 2.0940 | 180  | 0.0202          |
+| 0.0174        | 2.4467 | 210  | 0.0197          |
+| 0.017         | 2.7994 | 240  | 0.0202          |
+| 0.0151        | 3.1411 | 270  | 0.0160          |
+| 0.016         | 3.4938 | 300  | 0.0129          |
+| 0.0162        | 3.8464 | 330  | 0.0134          |
+| 0.0157        | 4.1881 | 360  | 0.0132          |
+| 0.0156        | 4.5408 | 390  | 0.0144          |
+| 0.015         | 4.8935 | 420  | 0.0135          |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu126
+- Tokenizers 0.21.1

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