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zephyr-7b-dpo-full

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5225
  • Rewards/chosen: -0.5814
  • Rewards/rejected: -1.3885
  • Rewards/accuracies: 0.7773
  • Rewards/margins: 0.8071
  • Logps/rejected: -403.6498
  • Logps/chosen: -323.4799
  • Logits/rejected: 1.6879
  • Logits/chosen: 1.2050

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
0.5999 0.2092 100 0.5966 -0.3739 -0.7450 0.7109 0.3711 -339.3055 -302.7284 -1.6763 -1.7949
0.5606 0.4184 200 0.5555 -0.6215 -1.2285 0.7461 0.6069 -387.6506 -327.4932 1.5409 1.1102
0.5211 0.6276 300 0.5284 -0.6372 -1.3932 0.7617 0.7559 -404.1211 -329.0649 1.2079 0.7847
0.5189 0.8368 400 0.5225 -0.5814 -1.3885 0.7773 0.8071 -403.6498 -323.4799 1.6879 1.2050

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.1.0
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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