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Vasanth/openhermes-mistral-dpo-gptq
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metadata
license: apache-2.0
library_name: peft
tags:
  - trl
  - dpo
  - generated_from_trainer
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
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: 1.0134
  • Rewards/chosen: 7.8160
  • Rewards/rejected: 8.7194
  • Rewards/accuracies: 0.375
  • Rewards/margins: -0.9034
  • Logps/rejected: -146.7816
  • Logps/chosen: -235.0709
  • Logits/rejected: -2.1916
  • Logits/chosen: -2.6628

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
0.6763 0.005 10 0.7302 0.0677 0.1589 0.1875 -0.0912 -232.3873 -312.5545 -2.1541 -2.6006
0.7076 0.01 20 0.7628 0.0161 0.1965 0.25 -0.1804 -232.0109 -313.0701 -2.1614 -2.6040
0.6925 0.015 30 0.7999 0.1974 0.5152 0.25 -0.3179 -228.8234 -311.2576 -2.1717 -2.6192
0.6966 0.02 40 0.8630 0.7996 1.2680 0.3125 -0.4684 -221.2960 -305.2355 -2.1636 -2.6203
0.6764 0.025 50 1.0134 7.8160 8.7194 0.375 -0.9034 -146.7816 -235.0709 -2.1916 -2.6628

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.19.2
  • Tokenizers 0.19.1