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openhermes-mistral-dpo-gptq

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: 10.4812
  • Rewards/chosen: -34.3483
  • Rewards/rejected: -10.5927
  • Rewards/accuracies: 0.4375
  • Rewards/margins: -23.7556
  • Logps/rejected: -369.0945
  • Logps/chosen: -652.6519
  • Logits/rejected: -1.9434
  • Logits/chosen: -2.1850

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
0.785 0.01 10 0.6767 0.0342 0.0037 0.5625 0.0305 -263.1300 -308.8264 -2.4042 -2.7773
0.988 0.01 20 0.6634 0.1443 -0.0047 0.75 0.1490 -263.2147 -307.7260 -2.4189 -2.7870
0.9481 0.01 30 10.5125 -35.0203 -10.9252 0.4375 -24.0951 -372.4191 -659.3712 -1.9468 -2.1781
10.47 0.02 40 17.8422 -55.0969 -26.2159 0.375 -28.8810 -525.3258 -860.1373 -1.6618 -1.8474
2.5456 0.03 50 10.4812 -34.3483 -10.5927 0.4375 -23.7556 -369.0945 -652.6519 -1.9434 -2.1850

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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