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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-v0.2
model-index:
  - name: Mistral-7B-Instruct-v0.2-ORPO-SALT
    results: []

Mistral-7B-Instruct-v0.2-ORPO-SALT

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the dpo_mix_en and the bct_non_cot_dpo_1000 datasets. It achieves the following results on the evaluation set:

  • Loss: 0.8630
  • Rewards/chosen: -0.0798
  • Rewards/rejected: -0.1033
  • Rewards/accuracies: 0.5618
  • Rewards/margins: 0.0235
  • Logps/rejected: -1.0328
  • Logps/chosen: -0.7975
  • Logits/rejected: -2.8558
  • Logits/chosen: -2.8473
  • Sft Loss: 0.7975
  • Odds Ratio Loss: 0.6547

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
0.93 0.8082 500 0.8928 -0.0828 -0.1057 0.5773 0.0229 -1.0567 -0.8278 -2.8442 -2.8368 0.8278 0.6496
0.7571 1.6165 1000 0.8679 -0.0803 -0.1034 0.5700 0.0231 -1.0337 -0.8028 -2.8729 -2.8644 0.8028 0.6510
0.8035 2.4247 1500 0.8630 -0.0798 -0.1033 0.5618 0.0235 -1.0328 -0.7975 -2.8558 -2.8473 0.7975 0.6547

Framework versions

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