---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF6k
model-index:
- name: zephyr-7b-dpo-oursuf6k-qlora-5e-6
  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-oursuf6k-qlora-5e-6

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co./alignment-handbook/zephyr-7b-sft-full) on the generation/UF6k dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5972
- Rewards/chosen: -2.1562
- Rewards/rejected: -2.9617
- Rewards/accuracies: 0.6865
- Rewards/margins: 0.8055
- Rewards/margins Max: 2.4253
- Rewards/margins Min: -0.7592
- Rewards/margins Std: 1.4237
- Logps/rejected: -555.3531
- Logps/chosen: -500.8411
- Logits/rejected: -1.8009
- Logits/chosen: -1.8449

## 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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- 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 | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5821        | 0.15  | 100  | 0.6622          | -0.1867        | -0.2755          | 0.6151             | 0.0888          | 0.3953              | -0.1795             | 0.2588              | -286.7321      | -303.8942    | -2.6966         | -2.7355       |
| 0.481         | 0.29  | 200  | 0.6257          | -1.2575        | -1.6473          | 0.6746             | 0.3898          | 1.3412              | -0.5259             | 0.8283              | -423.9109      | -410.9716    | -2.5402         | -2.5661       |
| 0.4017        | 0.44  | 300  | 0.6112          | -1.7680        | -2.5016          | 0.6944             | 0.7336          | 2.3329              | -0.8123             | 1.4011              | -509.3477      | -462.0217    | -1.9880         | -2.0224       |
| 0.3427        | 0.58  | 400  | 0.5955          | -1.9140        | -2.6859          | 0.7024             | 0.7719          | 2.2721              | -0.7218             | 1.3401              | -527.7765      | -476.6219    | -1.9447         | -1.9863       |
| 0.3246        | 0.73  | 500  | 0.6026          | -2.2815        | -3.0194          | 0.6627             | 0.7379          | 2.2879              | -0.7821             | 1.3716              | -561.1234      | -513.3748    | -1.8444         | -1.8864       |
| 0.2747        | 0.88  | 600  | 0.5973          | -2.1734        | -2.9762          | 0.6786             | 0.8029          | 2.4273              | -0.7515             | 1.4233              | -556.8073      | -502.5607    | -1.7934         | -1.8380       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2