---
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: 2121.0452
- Rewards/chosen: 0.0578
- Rewards/rejected: -0.0912
- Rewards/accuracies: 0.7599
- Rewards/margins: 0.1490
- Logps/rejected: -253.8891
- Logps/chosen: -259.2458
- Logits/rejected: -2.2028
- Logits/chosen: -2.2552

## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 2149.4746     | 0.21  | 100  | 2190.7666       | 0.0445         | -0.0848          | 0.7460             | 0.1293          | -253.2523      | -260.5782    | -2.1770         | -2.2229       |
| 2105.1256     | 0.42  | 200  | 2151.1555       | 0.0543         | -0.0961          | 0.7599             | 0.1504          | -254.3840      | -259.5941    | -2.2074         | -2.2603       |
| 2135.4973     | 0.63  | 300  | 2129.0896       | 0.0626         | -0.0799          | 0.7560             | 0.1425          | -252.7585      | -258.7624    | -2.2232         | -2.2765       |
| 2099.8018     | 0.84  | 400  | 2121.6672       | 0.0538         | -0.0959          | 0.7540             | 0.1497          | -254.3591      | -259.6440    | -2.2016         | -2.2541       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2