library_name: transformers
base_model: cs-552-2026-MMRF/15kDPO
tags:
- generated_from_trainer
model-index: - name: safety_nosalad
results: []
safety_nosalad
This model is a fine-tuned version of cs-552-2026-MMRF/15kDPO on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0528
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0782 | 0.1170 | 50 | 0.0776 |
| 0.0823 | 0.2339 | 100 | 0.0696 |
| 0.0569 | 0.3509 | 150 | 0.0629 |
| 0.0547 | 0.4678 | 200 | 0.0583 |
| 0.0625 | 0.5848 | 250 | 0.0561 |
| 0.0527 | 0.7018 | 300 | 0.0534 |
| 0.0597 | 0.8187 | 350 | 0.0531 |
| 0.0610 | 0.9357 | 400 | 0.0529 |
| 0.0539 | 1.0 | 428 | 0.0528 |
Framework versions
- Transformers 5.7.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2