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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: 0.6282
  • Rewards/chosen: 0.0648
  • Rewards/rejected: -0.1682
  • Rewards/accuracies: 0.5625
  • Rewards/margins: 0.2330
  • Logps/rejected: -449.7376
  • Logps/chosen: -595.4427
  • Logits/rejected: -1.8275
  • Logits/chosen: -1.7465

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
0.6839 0.01 10 0.6418 0.1941 0.0444 0.5625 0.1498 -447.6118 -594.1498 -1.8467 -1.7399
0.7038 0.01 20 0.6286 0.2428 0.0265 0.5625 0.2162 -447.7904 -593.6635 -1.8468 -1.7509
0.6388 0.01 30 0.6218 0.2294 -0.0446 0.625 0.2741 -448.5019 -593.7968 -1.8401 -1.7519
0.648 0.02 40 0.6218 0.1284 -0.1299 0.625 0.2582 -449.3542 -594.8075 -1.8332 -1.7487
0.673 0.03 50 0.6282 0.0648 -0.1682 0.5625 0.2330 -449.7376 -595.4427 -1.8275 -1.7465

Framework versions

  • PEFT 0.8.2
  • Transformers 4.37.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.17.1
  • Tokenizers 0.15.1
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