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ZoninSh/openhermes-mistral-dpo-gpt
bdb8592
metadata
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
  - generated_from_trainer
model-index:
  - name: openhermes-mistral-dpo-gptq
    results: []

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: 3.2500
  • Rewards/chosen: -1.0975
  • Rewards/rejected: -1.6306
  • Rewards/accuracies: 0.625
  • Rewards/margins: 0.5331
  • Logps/rejected: -307.3866
  • Logps/chosen: -331.8629
  • Logits/rejected: -2.4077
  • Logits/chosen: -2.3038

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: 300
  • 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
4.2921 0.03 50 9.8028 -5.3862 0.1060 0.1875 -5.4922 -290.0201 -374.7499 -2.2861 -2.1795
9.75 0.05 100 8.8191 -12.7493 -8.6505 0.3125 -4.0989 -377.5849 -448.3811 -2.2836 -2.2309
3.2104 0.07 150 0.8915 -3.5710 -6.0350 0.375 2.4640 -351.4305 -356.5982 -2.6543 -2.5955
2.655 0.1 200 0.3207 -1.0209 -4.6027 0.6875 3.5818 -337.1074 -331.0971 -2.4341 -2.3534
4.8481 0.12 250 1.1311 -0.8147 -2.3072 0.625 1.4926 -314.1525 -329.0346 -2.3257 -2.2374
3.1598 0.15 300 3.2500 -1.0975 -1.6306 0.625 0.5331 -307.3866 -331.8629 -2.4077 -2.3038

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.15.0
  • Tokenizers 0.15.0