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zephyr-dpo-qlora-gpt4-5e-7

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the generation/GPT4 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6861
  • Rewards/chosen: -0.0552
  • Rewards/rejected: -0.0760
  • Rewards/accuracies: 0.5910
  • Rewards/margins: 0.0208
  • Rewards/margins Max: 0.1489
  • Rewards/margins Min: -0.0942
  • Rewards/margins Std: 0.0802
  • Logps/rejected: -266.1821
  • Logps/chosen: -290.1167
  • Logits/rejected: -2.7232
  • Logits/chosen: -2.7609

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: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • 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

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Rewards/margins Max Rewards/margins Min Rewards/margins Std Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.6666 0.28 100 0.6907 -0.0061 -0.0128 0.5780 0.0067 0.0489 -0.0295 0.0259 -259.8633 -285.2067 -2.7596 -2.7978
0.6251 0.56 200 0.6876 -0.0360 -0.0522 0.5870 0.0162 0.1195 -0.0752 0.0641 -263.7989 -288.1948 -2.7319 -2.7700
0.6029 0.85 300 0.6862 -0.0539 -0.0744 0.5870 0.0206 0.1479 -0.0932 0.0795 -266.0218 -289.9789 -2.7191 -2.7573

Framework versions

  • PEFT 0.7.1
  • Transformers 4.39.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.2
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