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model_shp1_dpo1

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: 2.0112
  • Rewards/chosen: -9.7625
  • Rewards/rejected: -9.2926
  • Rewards/accuracies: 0.4700
  • Rewards/margins: -0.4699
  • Logps/rejected: -307.4124
  • Logps/chosen: -345.0927
  • Logits/rejected: -1.0692
  • Logits/chosen: -1.0975

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
0.0741 2.67 100 1.1825 -3.1899 -3.0393 0.4800 -0.1506 -244.8796 -279.3668 -1.2034 -1.2620
0.0016 5.33 200 2.1179 -8.9597 -8.2224 0.4100 -0.7372 -296.7111 -337.0645 -1.1154 -1.1503
0.0001 8.0 300 1.9624 -9.5308 -9.0562 0.4500 -0.4746 -305.0487 -342.7763 -1.0878 -1.1168
0.0001 10.67 400 1.9799 -9.6041 -9.1296 0.4500 -0.4745 -305.7831 -343.5089 -1.0797 -1.1079
0.0001 13.33 500 1.9938 -9.6787 -9.2063 0.4500 -0.4724 -306.5495 -344.2545 -1.0746 -1.1031
0.0001 16.0 600 2.0046 -9.7222 -9.2446 0.4600 -0.4776 -306.9330 -344.6898 -1.0722 -1.0999
0.0001 18.67 700 2.0079 -9.7525 -9.2749 0.4500 -0.4776 -307.2361 -344.9933 -1.0706 -1.0984
0.0001 21.33 800 2.0091 -9.7588 -9.2867 0.4600 -0.4721 -307.3541 -345.0561 -1.0699 -1.0978
0.0001 24.0 900 2.0158 -9.7704 -9.2915 0.4500 -0.4789 -307.4015 -345.1719 -1.0694 -1.0975
0.0001 26.67 1000 2.0112 -9.7625 -9.2926 0.4700 -0.4699 -307.4124 -345.0927 -1.0692 -1.0975

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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