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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: 1.6114
  • Rewards/chosen: -2.4430
  • Rewards/rejected: -1.9061
  • Rewards/accuracies: 0.6875
  • Rewards/margins: -0.5369
  • Logps/rejected: -480.5268
  • Logps/chosen: -519.2752
  • Logits/rejected: -2.5308
  • Logits/chosen: -2.6586

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
0.7579 0.01 10 0.6551 0.1429 0.0811 0.625 0.0618 -460.6556 -493.4166 -2.4845 -2.6464
0.7842 0.01 20 0.6336 0.2270 0.1016 0.875 0.1254 -460.4503 -492.5753 -2.5075 -2.6588
1.224 0.01 30 1.4870 -2.1416 -1.6612 0.75 -0.4804 -478.0778 -516.2612 -2.5269 -2.6581
9.9606 0.02 40 19.8907 -23.9174 -11.8255 0.5625 -12.0919 -579.7216 -734.0198 -2.2514 -2.3830
2.3399 0.03 50 1.6114 -2.4430 -1.9061 0.6875 -0.5369 -480.5268 -519.2752 -2.5308 -2.6586

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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