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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: 0.5940
  • Rewards/chosen: 0.0155
  • Rewards/rejected: -0.3247
  • Rewards/accuracies: 0.875
  • Rewards/margins: 0.3402
  • Logps/rejected: -329.5930
  • Logps/chosen: -281.9707
  • Logits/rejected: -2.2879
  • Logits/chosen: -2.2211

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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.6766 0.01 10 0.7047 -0.0328 -0.0733 0.5 0.0405 -327.0790 -282.4540 -2.2913 -2.2181
0.7059 0.01 20 0.6603 -0.0641 -0.2367 0.8125 0.1726 -328.7130 -282.7669 -2.2896 -2.2224
0.6913 0.01 30 0.6036 0.0238 -0.2729 0.875 0.2968 -329.0755 -281.8873 -2.2889 -2.2248
0.7003 0.02 40 0.5921 0.0259 -0.3104 0.875 0.3364 -329.4504 -281.8663 -2.2881 -2.2227
0.6585 0.03 50 0.5940 0.0155 -0.3247 0.875 0.3402 -329.5930 -281.9707 -2.2879 -2.2211

Framework versions

  • PEFT 0.10.0
  • Transformers 4.38.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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