---
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-gpt4-5e-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-dpo-qlora-gpt4-5e-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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9371
- Rewards/chosen: -6.0411
- Rewards/rejected: -6.9811
- Rewards/accuracies: 0.6450
- Rewards/margins: 0.9400
- Rewards/margins Max: 4.7437
- Rewards/margins Min: -3.0368
- Rewards/margins Std: 2.6550
- Logps/rejected: -956.6877
- Logps/chosen: -888.7039
- Logits/rejected: -1.4320
- Logits/chosen: -1.4909

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.3843        | 0.28  | 100  | 0.6754          | -0.8222        | -0.9456          | 0.6190             | 0.1235          | 0.8275              | -0.5849             | 0.4661              | -353.1436      | -366.8085    | -2.4707         | -2.5001       |
| 0.1345        | 0.56  | 200  | 0.9115          | -6.6830        | -7.3423          | 0.6230             | 0.6594          | 4.1300              | -2.9206             | 2.3615              | -992.8121      | -952.8915    | -1.3494         | -1.4037       |
| 0.0467        | 0.85  | 300  | 0.9371          | -6.0411        | -6.9811          | 0.6450             | 0.9400          | 4.7437              | -3.0368             | 2.6550              | -956.6877      | -888.7039    | -1.4320         | -1.4909       |


### Framework versions

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