---
license: mit
base_model: HuggingFaceH4/zephyr-7b-beta
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-lora
  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-lora

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6843
- Rewards/chosen: 0.0440
- Rewards/rejected: 0.0071
- Rewards/accuracies: 0.5
- Rewards/margins: 0.0369
- Logps/rejected: -132.8740
- Logps/chosen: -190.5722
- Logits/rejected: -2.2999
- Logits/chosen: -2.2747

## 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: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6931        | 0.55  | 1    | 0.6931          | 0.0            | 0.0              | 0.0                | 0.0             | -132.9451      | -191.0126    | -2.3015         | -2.2762       |
| 0.6931        | 1.66  | 3    | 0.6928          | 0.0185         | -0.0111          | 0.5                | 0.0296          | -133.0566      | -190.8279    | -2.3016         | -2.2755       |
| 0.6931        | 2.76  | 5    | 0.6843          | 0.0440         | 0.0071           | 0.5                | 0.0369          | -132.8740      | -190.5722    | -2.2999         | -2.2747       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1