---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full
  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-full

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: 0.5714
- Rewards/chosen: -0.4765
- Rewards/rejected: -1.7868
- Rewards/accuracies: 0.7619
- Rewards/margins: 1.3103
- Logps/rejected: -294.2741
- Logps/chosen: -305.4321
- Logits/rejected: -2.4275
- Logits/chosen: -2.4841

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5509        | 0.26  | 500  | 0.6311          | 0.8114         | -0.1181          | 0.7619             | 0.9294          | -277.5868      | -292.5533    | -2.4249         | -2.4869       |
| 0.6191        | 0.52  | 1000 | 0.5984          | 0.0381         | -1.0554          | 0.7599             | 1.0935          | -286.9601      | -300.2859    | -2.4280         | -2.4907       |
| 0.5342        | 0.78  | 1500 | 0.5819          | 0.0994         | -1.1560          | 0.7560             | 1.2554          | -287.9663      | -299.6732    | -2.4208         | -2.4793       |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0