model_hh_usp4_dpo9

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: 4.0767
  • Rewards/chosen: -1.1762
  • Rewards/rejected: -7.5013
  • Rewards/accuracies: 0.6300
  • Rewards/margins: 6.3252
  • Logps/rejected: -117.1809
  • Logps/chosen: -115.1588
  • Logits/rejected: -0.1065
  • Logits/chosen: -0.0807

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
0.0472 2.67 100 1.5866 -2.4737 -5.2244 0.6600 2.7507 -114.6509 -116.6005 -0.1123 -0.1103
0.061 5.33 200 2.8352 -8.5414 -13.8302 0.6600 5.2888 -124.2130 -123.3425 -0.2214 -0.1997
0.0022 8.0 300 3.6078 -5.7355 -11.8144 0.6600 6.0789 -121.9732 -120.2247 -0.2463 -0.2014
0.0001 10.67 400 4.1244 -1.6102 -7.8752 0.6300 6.2650 -117.5963 -115.6411 -0.1230 -0.0965
0.0 13.33 500 4.0644 -1.1614 -7.5191 0.6300 6.3577 -117.2006 -115.1424 -0.1061 -0.0806
0.0 16.0 600 4.0669 -1.1412 -7.4965 0.6300 6.3554 -117.1756 -115.1199 -0.1068 -0.0813
0.0 18.67 700 4.0482 -1.1597 -7.5269 0.6300 6.3672 -117.2094 -115.1405 -0.1065 -0.0810
0.0 21.33 800 4.0720 -1.1432 -7.5025 0.6300 6.3594 -117.1822 -115.1221 -0.1067 -0.0811
0.0 24.0 900 4.0691 -1.1439 -7.4980 0.6300 6.3541 -117.1772 -115.1229 -0.1069 -0.0810
0.0 26.67 1000 4.0767 -1.1762 -7.5013 0.6300 6.3252 -117.1809 -115.1588 -0.1065 -0.0807

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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