metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: smartmind-cyberone-20250420
results: []
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