library_name, base_model, tags, model-index
| library_name | base_model | tags | model-index | ||||||
|---|---|---|---|---|---|---|---|---|---|
| transformers | cs-552-2026-MMRF/15kDPO |
|
|
2xwildguard
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: 0.0466
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 |
|---|---|---|---|
| 0.0856 | 0.0714 | 50 | 0.0800 |
| 0.0673 | 0.1428 | 100 | 0.0686 |
| 0.0722 | 0.2142 | 150 | 0.0625 |
| 0.0506 | 0.2856 | 200 | 0.0613 |
| 0.0480 | 0.3570 | 250 | 0.0549 |
| 0.0426 | 0.4283 | 300 | 0.0536 |
| 0.0520 | 0.4997 | 350 | 0.0523 |
| 0.0446 | 0.5711 | 400 | 0.0502 |
| 0.0586 | 0.6425 | 450 | 0.0477 |
| 0.0502 | 0.7139 | 500 | 0.0477 |
| 0.0474 | 0.7853 | 550 | 0.0475 |
| 0.0456 | 0.8567 | 600 | 0.0471 |
| 0.0491 | 0.9281 | 650 | 0.0466 |
| 0.0563 | 0.9995 | 700 | 0.0466 |
| 0.0563 | 1.0 | 701 | 0.0466 |
Framework versions
- Transformers 5.7.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2