---
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
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mistral-7B-Instruct-v0.2-ORPO

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the dpo_mix_en dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8975
- Rewards/chosen: -0.0835
- Rewards/rejected: -0.1074
- Rewards/accuracies: 0.5900
- Rewards/margins: 0.0238
- Logps/rejected: -1.0737
- Logps/chosen: -0.8352
- Logits/rejected: -2.8721
- Logits/chosen: -2.8461
- Sft Loss: 0.8352
- Odds Ratio Loss: 0.6231

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
| 1.0001        | 0.8891 | 500  | 0.9318          | -0.0869        | -0.1112          | 0.5920             | 0.0243          | -1.1123        | -0.8690      | -2.8936         | -2.8713       | 0.8690   | 0.6284          |
| 0.906         | 1.7782 | 1000 | 0.9039          | -0.0841        | -0.1081          | 0.5780             | 0.0240          | -1.0811        | -0.8415      | -2.8783         | -2.8533       | 0.8415   | 0.6243          |
| 0.9019        | 2.6673 | 1500 | 0.8975          | -0.0835        | -0.1074          | 0.5900             | 0.0238          | -1.0737        | -0.8352      | -2.8721         | -2.8461       | 0.8352   | 0.6231          |


### Framework versions

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