Orpo-Mistral-7B-v0.3-peft-adapter

This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6129
  • Rewards/chosen: -0.0574
  • Rewards/rejected: -0.0794
  • Rewards/accuracies: 0.6429
  • Rewards/margins: 0.0221
  • Logps/rejected: -0.7943
  • Logps/chosen: -0.5738
  • Logits/rejected: -3.2681
  • Logits/chosen: -3.2859
  • Nll Loss: 0.5465
  • Log Odds Ratio: -0.5869
  • Log Odds Chosen: 0.4083

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: 8e-06
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen Nll Loss Log Odds Ratio Log Odds Chosen
0.7914 0.2003 62 0.6937 -0.0709 -0.0851 0.6071 0.0142 -0.8514 -0.7090 -3.2582 -3.2848 0.6333 -0.6178 0.2402
0.802 0.4006 124 0.6338 -0.0607 -0.0781 0.6429 0.0174 -0.7809 -0.6070 -3.2744 -3.2972 0.5693 -0.5966 0.3287
0.8605 0.6010 186 0.6204 -0.0586 -0.0799 0.6071 0.0213 -0.7990 -0.5863 -3.2692 -3.2895 0.5538 -0.5899 0.3927
0.7359 0.8013 248 0.6129 -0.0574 -0.0794 0.6429 0.0221 -0.7943 -0.5738 -3.2681 -3.2859 0.5465 -0.5869 0.4083

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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