---
base_model: alignment-handbook/zephyr-7b-sft-full
library_name: peft
license: apache-2.0
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpo-qlora-uf6k-5e-7
  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-dpo-qlora-uf6k-5e-7

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6889
- Rewards/chosen: 0.0031
- Rewards/rejected: -0.0066
- Rewards/accuracies: 0.6760
- Rewards/margins: 0.0098
- Rewards/margins Max: 0.0449
- Rewards/margins Min: -0.0216
- Rewards/margins Std: 0.0219
- Logps/rejected: -259.2438
- Logps/chosen: -284.2815
- Logits/rejected: -2.7640
- Logits/chosen: -2.8026

## 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-07
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6914        | 0.3   | 100  | 0.6915          | -0.0004        | -0.0041          | 0.6460             | 0.0037          | 0.0187              | -0.0095             | 0.0093              | -258.9901      | -284.6319    | -2.7677         | -2.8065       |
| 0.6884        | 0.61  | 200  | 0.6895          | 0.0023         | -0.0061          | 0.6850             | 0.0084          | 0.0389              | -0.0189             | 0.0190              | -259.1880      | -284.3611    | -2.7665         | -2.8049       |
| 0.6873        | 0.91  | 300  | 0.6889          | 0.0031         | -0.0066          | 0.6760             | 0.0098          | 0.0449              | -0.0216             | 0.0219              | -259.2438      | -284.2815    | -2.7640         | -2.8026       |


### Framework versions

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