safety_nosalad – AI Model by cs-552-2026-MMRF | AlphaNeural AI

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cs-552-2026-MMRF/
safety_nosalad

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text-generation

generated_from_trainer

cs-552-2026-MMRF/15kDPO

text-generation-inference

endpoints_compatible

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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