---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
base_model: mistralai/Mistral-7B-v0.1
datasets:
- updated
- original
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 updated and the original datasets.
It achieves the following results on the evaluation set:
- Loss: 0.5735
- Rewards/chosen: -0.6770
- Rewards/rejected: -1.1070
- Rewards/accuracies: 0.6940
- Rewards/margins: 0.4300
- Logps/rejected: -351.8942
- Logps/chosen: -331.1508
- Logits/rejected: -1.4599
- Logits/chosen: -1.7015

## 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
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6269        | 0.32  | 100  | 0.6269          | -0.2377        | -0.4431          | 0.6820             | 0.2054          | -285.4985      | -287.2169    | -2.2566         | -2.3666       |
| 0.6332        | 0.64  | 200  | 0.5821          | -0.5909        | -0.9588          | 0.7060             | 0.3679          | -337.0687      | -322.5442    | -1.6871         | -1.8938       |
| 0.5648        | 0.96  | 300  | 0.5735          | -0.6770        | -1.1070          | 0.6940             | 0.4300          | -351.8942      | -331.1508    | -1.4599         | -1.7015       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2