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mistral-dpo

This model is a fine-tuned version of TheBloke/OpenHermes-2-Mistral-7B-GPTQ on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6931
  • Rewards/chosen: 0.0156
  • Rewards/rejected: 0.0156
  • Rewards/accuracies: 0.0
  • Rewards/margins: 0.0
  • Logps/rejected: -165.4536
  • Logps/chosen: -165.4536
  • Logits/rejected: -1.7890
  • Logits/chosen: -1.7890

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: 0.0002
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2
  • training_steps: 50

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.6931 0.01 10 0.6931 0.0246 0.0246 0.0 0.0 -165.3638 -165.3638 -1.7889 -1.7889
0.6931 0.01 20 0.6931 0.0133 0.0133 0.0 0.0 -165.4770 -165.4770 -1.7895 -1.7895
0.6931 0.01 30 0.6931 0.0060 0.0060 0.0 0.0 -165.5494 -165.5494 -1.7923 -1.7923
0.6931 0.02 40 0.6931 0.0063 0.0063 0.0 0.0 -165.5464 -165.5464 -1.7897 -1.7897
0.6931 0.03 50 0.6931 0.0156 0.0156 0.0 0.0 -165.4536 -165.4536 -1.7890 -1.7890

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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