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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