• Model creator: https://huggingface.co/taicheng/
• Original model: https://huggingface.co/taicheng/zephyr-7b-align-scan-7e-07-0.45-cosine-3.0/

Original model description:

• alignment-handbook
• trl
• dpo
• generated_from_trainer
• trl
• dpo
• generated_from_trainer datasets:
• HuggingFaceH4/ultrafeedback_binarized model-index:
• name: zephyr-7b-align-scan-7e-07-0.45-cosine-3.0 results: []

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zephyr-7b-align-scan-7e-07-0.45-cosine-3.0

• Loss: 0.9379
• Rewards/chosen: -0.3417
• Rewards/rejected: -2.0404
• Rewards/accuracies: 0.3472
• Rewards/margins: 1.6986
• Logps/rejected: -85.6625
• Logps/chosen: -75.2506
• Logits/rejected: -2.6727
• Logits/chosen: -2.6887

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 7e-07
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• 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: 3

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1