Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

dpo-selective-redteaming – AI Model by wxzhang | AlphaNeural AI

You can deploy this model and start earning money today!

wxzhang/
dpo-selective-redteaming

like

0

text-generation

generated_from_trainer

HuggingFaceH4/zephyr-7b-beta

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

dpo-selective-redteaming

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:

Loss: 3718.4153
Rewards/chosen: -0.4246
Rewards/rejected: -0.4942
Rewards/accuracies: 0.5239
Rewards/margins: 0.0696
Rewards/safe Rewards: -0.4398
Rewards/unsafe Rewards: -0.4005
Logps/rejected: -216.6940
Logps/chosen: -198.2132
Logits/rejected: -2.6603
Logits/chosen: -2.6191

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: 5e-07
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.0