zephyr-7b-dpo-full

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

  • Loss: 0.5061
  • Rewards/chosen: -1.0205
  • Rewards/rejected: -1.9944
  • Rewards/accuracies: 0.7812
  • Rewards/margins: 0.9740
  • Logps/rejected: -462.1064
  • Logps/chosen: -364.6778
  • Logits/rejected: 2.4089
  • Logits/chosen: 1.6213

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: 42
  • 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

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.5644 0.2092 100 0.5695 -0.6773 -1.2063 0.7188 0.5290 -383.2874 -330.3586 -0.4241 -0.6326
0.5445 0.4184 200 0.5354 -0.6109 -1.3936 0.7695 0.7827 -402.0177 -323.7153 0.9697 0.1924
0.4909 0.6276 300 0.5138 -0.9252 -1.8338 0.7578 0.9086 -446.0438 -355.1510 2.1667 1.4140
0.5036 0.8368 400 0.5066 -0.9998 -1.9548 0.7812 0.9549 -458.1404 -362.6149 2.3428 1.5651

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.1.2+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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