Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: smartmind-cyberone-20250420
+  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-20250420
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0035
+
+## 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-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 8
+- total_train_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: 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0007        | 0.3504 | 30   | 0.0003          |
+| 0.0           | 0.7007 | 60   | 0.0037          |
+| 0.0004        | 1.0584 | 90   | 0.0084          |
+| 0.0004        | 1.4088 | 120  | 0.0039          |
+| 0.0           | 1.7591 | 150  | 0.0018          |
+| 0.0025        | 2.1168 | 180  | 0.0017          |
+| 0.0           | 2.4672 | 210  | 0.0025          |
+| 0.0           | 2.8175 | 240  | 0.0024          |
+| 0.0001        | 3.1752 | 270  | 0.0015          |
+| 0.0           | 3.5255 | 300  | 0.0023          |
+| 0.0           | 3.8759 | 330  | 0.0035          |
+| 0.0           | 4.2336 | 360  | 0.0035          |
+| 0.0           | 4.5839 | 390  | 0.0035          |
+| 0.0           | 4.9343 | 420  | 0.0035          |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

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