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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: 1.4715
  • Rewards/chosen: -1.6019
  • Rewards/rejected: -1.3634
  • Rewards/accuracies: 0.6875
  • Rewards/margins: -0.2386
  • Logps/rejected: -342.2072
  • Logps/chosen: -321.4847
  • Logits/rejected: -2.4409
  • Logits/chosen: -2.4704

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
0.6793 0.005 10 0.6783 0.1178 0.0391 0.5 0.0787 -328.1823 -304.2877 -2.4405 -2.4604
0.7008 0.01 20 0.6618 0.1939 -0.0229 0.625 0.2168 -328.8029 -303.5266 -2.4441 -2.4621
0.706 0.015 30 0.7197 0.2223 0.0219 0.75 0.2004 -328.3552 -303.2429 -2.4519 -2.4654
0.6897 0.02 40 0.8159 -0.1834 -0.3501 0.75 0.1667 -332.0744 -307.2993 -2.4459 -2.4677
0.6443 0.025 50 1.4715 -1.6019 -1.3634 0.6875 -0.2386 -342.2072 -321.4847 -2.4409 -2.4704

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.19.1
  • Tokenizers 0.19.1