safety_model/README.md

library_name, base_model, tags, model-index

library_name	base_model	tags	model-index
transformers	cs-552-2026-MMRF/15kDPO	generated_from_trainer	name results 2xwildguard

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