---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: zephyr-7b-dpo-qlora
  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. -->

# zephyr-7b-dpo-qlora

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5473
- Rewards/chosen: -0.8609
- Rewards/rejected: -1.5251
- Rewards/accuracies: 0.7422
- Rewards/margins: 0.6641
- Logps/rejected: -404.3018
- Logps/chosen: -336.2481
- Logits/rejected: 0.0706
- Logits/chosen: -0.1471

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6812        | 0.1   | 100  | 0.6787          | 0.0452         | 0.0120           | 0.6992             | 0.0332          | -250.5929      | -245.6322    | -2.1942         | -2.2517       |
| 0.6066        | 0.21  | 200  | 0.6151          | -0.2303        | -0.5020          | 0.6992             | 0.2717          | -301.9975      | -273.1855    | -1.9906         | -2.0610       |
| 0.5711        | 0.31  | 300  | 0.5927          | -0.4441        | -0.8513          | 0.7188             | 0.4072          | -336.9228      | -294.5666    | -1.9417         | -2.0223       |
| 0.557         | 0.42  | 400  | 0.5817          | -0.5958        | -1.0732          | 0.7227             | 0.4773          | -359.1117      | -309.7378    | -1.7434         | -1.8364       |
| 0.5703        | 0.52  | 500  | 0.5679          | -0.7215        | -1.2405          | 0.7266             | 0.5189          | -375.8402      | -322.3068    | -0.8467         | -0.9967       |
| 0.5498        | 0.63  | 600  | 0.5582          | -0.7003        | -1.2848          | 0.7578             | 0.5845          | -380.2699      | -320.1794    | -0.2510         | -0.4463       |
| 0.5279        | 0.73  | 700  | 0.5490          | -0.8400        | -1.4901          | 0.75               | 0.6501          | -400.8082      | -334.1553    | 0.0145          | -0.1988       |
| 0.5264        | 0.84  | 800  | 0.5475          | -0.8613        | -1.5228          | 0.7461             | 0.6615          | -404.0751      | -336.2833    | 0.0604          | -0.1549       |
| 0.5639        | 0.94  | 900  | 0.5475          | -0.8628        | -1.5267          | 0.7422             | 0.6639          | -404.4688      | -336.4348    | 0.0704          | -0.1466       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0