zephyr-qwen2-7b-dpo

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zephyr-qwen2-7b-dpo

This model is a fine-tuned version of tanliboy/zephyr-qwen2-7b-sft on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

• Loss: 0.5492
• Rewards/chosen: -0.3377
• Rewards/rejected: -0.7347
• Rewards/accuracies: 0.7120
• Rewards/margins: 0.3970
• Logps/rejected: -339.1164
• Logps/chosen: -334.2959
• Logits/rejected: 0.0096
• Logits/chosen: 0.1430

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: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• total_eval_batch_size: 16
• 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 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1