---
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