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

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8734
- Rewards/chosen: -0.0810
- Rewards/rejected: -0.1017
- Rewards/accuracies: 0.5720
- Rewards/margins: 0.0208
- Logps/rejected: -1.0175
- Logps/chosen: -0.8098
- Logits/rejected: -3.1455
- Logits/chosen: -3.1171
- Sft Loss: 0.8098
- Odds Ratio Loss: 0.6360

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
| 0.9464        | 0.8891 | 500  | 0.8919          | -0.0828        | -0.1031          | 0.5690             | 0.0202          | -1.0306        | -0.8281      | -3.1432         | -3.1149       | 0.8281   | 0.6374          |
| 0.8737        | 1.7782 | 1000 | 0.8774          | -0.0814        | -0.1019          | 0.5760             | 0.0205          | -1.0186        | -0.8136      | -3.1431         | -3.1139       | 0.8136   | 0.6371          |
| 0.8923        | 2.6673 | 1500 | 0.8734          | -0.0810        | -0.1017          | 0.5720             | 0.0208          | -1.0175        | -0.8098      | -3.1455         | -3.1171       | 0.8098   | 0.6360          |


### Framework versions

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