---
license: apache-2.0
library_name: peft
tags:
- trl
- orpo
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.3
model-index:
- name: Orpo-Mistral-7B-v0.3-peft-adapter
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

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

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/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