zephyr-7b-dpo-full-prometheus_consistent-reward-scale-01

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zephyr-7b-dpo-full-prometheus_consistent-reward-scale-01

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

• Loss: 0.5426
• Rewards/chosen: -1.6823
• Rewards/rejected: -3.0793
• Rewards/accuracies: 0.7543
• Rewards/margins: 1.3969
• Logps/rejected: -527.0015
• Logps/chosen: -443.8361
• Logits/rejected: 3.9256
• Logits/chosen: 2.3196

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: 8
• eval_batch_size: 8
• seed: 55
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• total_eval_batch_size: 64
• 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 4.44.0.dev0
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1