---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- updated
- original
model-index:
- name: vanilla_dpo_iter_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. -->

# vanilla_dpo_iter_6

This model is a fine-tuned version of [YYYYYYibo/vanilla_dpo_iter_5](https://huggingface.co/YYYYYYibo/vanilla_dpo_iter_5) on the updated and the original datasets.
It achieves the following results on the evaluation set:
- Loss: 0.5603
- Rewards/chosen: -0.4443
- Rewards/rejected: -0.8723
- Rewards/accuracies: 0.6980
- Rewards/margins: 0.4280
- Logps/rejected: -354.4169
- Logps/chosen: -329.3616
- Logits/rejected: -0.6833
- Logits/chosen: -1.1061

## 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: 16
- total_train_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5669        | 0.61  | 100  | 0.5603          | -0.4443        | -0.8723          | 0.6980             | 0.4280          | -354.4169      | -329.3616    | -0.6833         | -1.1061       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2