zephyr-7b-wpo-lora

This model is a fine-tuned version of princeton-nlp/Llama-3-Base-8B-SFT on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6932
• Rewards/chosen: -0.0018
• Rewards/rejected: -0.0016
• Rewards/accuracies: 0.4844
• Rewards/margins: -0.0002
• Logps/rejected: -331.1234
• Logps/chosen: -317.9713
• Logps/ref Response: -0.5450
• Logits/rejected: -0.5459
• Logits/chosen: -0.5457

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-06
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• 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: 1

Training results

Framework versions

• PEFT 0.7.1
• Transformers 4.44.2
• Pytorch 2.2.1+cu121
• Datasets 2.14.6
• Tokenizers 0.19.1