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metadata
license: apache-2.0
library_name: peft
tags:
  - llama-factory
  - lora
  - trl
  - dpo
  - generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.3
model-index:
  - name: Mistral-7B-Instruct-v0.3-ORPO-SALT
    results: []

Mistral-7B-Instruct-v0.3-ORPO-SALT

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the dpo_mix_en and the bct_non_cot_dpo_1000 datasets. It achieves the following results on the evaluation set:

  • Loss: 0.8434
  • Rewards/chosen: -0.0777
  • Rewards/rejected: -0.0988
  • Rewards/accuracies: 0.5691
  • Rewards/margins: 0.0210
  • Logps/rejected: -0.9877
  • Logps/chosen: -0.7773
  • Logits/rejected: -3.1073
  • Logits/chosen: -3.0834
  • Sft Loss: 0.7773
  • Odds Ratio Loss: 0.6614

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: 5e-06
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 0.1
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen Sft Loss Odds Ratio Loss
0.8803 0.8082 500 0.8619 -0.0796 -0.0983 0.5655 0.0187 -0.9834 -0.7962 -3.0746 -3.0520 0.7962 0.6572
0.7341 1.6165 1000 0.8450 -0.0779 -0.0980 0.5673 0.0201 -0.9804 -0.7795 -3.1194 -3.0960 0.7795 0.6550
0.7691 2.4247 1500 0.8434 -0.0777 -0.0988 0.5691 0.0210 -0.9877 -0.7773 -3.1073 -3.0834 0.7773 0.6614

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.1
  • Pytorch 2.3.0
  • Datasets 2.19.0
  • Tokenizers 0.19.1