model_hh_usp1_dpo5

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6912
  • Rewards/chosen: -8.0278
  • Rewards/rejected: -12.3890
  • Rewards/accuracies: 0.7100
  • Rewards/margins: 4.3613
  • Logps/rejected: -138.5718
  • Logps/chosen: -128.7695
  • Logits/rejected: -0.7832
  • Logits/chosen: -0.7072

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: 0.0005
  • train_batch_size: 4
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.1062 2.67 100 0.9731 -1.3173 -2.6971 0.6900 1.3798 -119.1878 -115.3486 -0.0430 -0.0352
0.0053 5.33 200 1.4158 -3.1407 -7.2838 0.6700 4.1431 -128.3614 -118.9955 -0.6209 -0.5447
0.0359 8.0 300 1.6639 -5.1494 -9.1017 0.6900 3.9524 -131.9972 -123.0127 -0.7498 -0.6842
0.0 10.67 400 1.6816 -7.9965 -12.3589 0.7000 4.3624 -138.5115 -128.7070 -0.7830 -0.7067
0.0 13.33 500 1.6979 -8.0167 -12.3847 0.7000 4.3680 -138.5631 -128.7474 -0.7829 -0.7068
0.0 16.0 600 1.6968 -8.0295 -12.3907 0.7000 4.3611 -138.5751 -128.7731 -0.7829 -0.7066
0.0 18.67 700 1.6993 -8.0304 -12.3986 0.7000 4.3682 -138.5910 -128.7749 -0.7833 -0.7066
0.0 21.33 800 1.6953 -8.0311 -12.4055 0.7000 4.3743 -138.6046 -128.7763 -0.7835 -0.7067
0.0 24.0 900 1.6919 -8.0283 -12.4122 0.7100 4.3839 -138.6181 -128.7706 -0.7836 -0.7075
0.0 26.67 1000 1.6912 -8.0278 -12.3890 0.7100 4.3613 -138.5718 -128.7695 -0.7832 -0.7072

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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