---
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: 0.6874
- Rewards/chosen: 0.0803
- Rewards/rejected: 0.0298
- Rewards/accuracies: 1.0
- Rewards/margins: 0.0505
- Logps/rejected: -101.0604
- Logps/chosen: -102.9630
- Logits/rejected: -2.2160
- Logits/chosen: -2.1724

## 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        | 0.8   | 1    | 0.6931          | 0.0            | 0.0              | 0.0                | 0.0             | -101.3584      | -103.7664    | -2.2157         | -2.1717       |
| 0.6931        | 1.6   | 2    | 0.6948          | 0.0296         | 0.0079           | 0.5                | 0.0217          | -101.2790      | -103.4700    | -2.2147         | -2.1715       |
| 0.6931        | 2.4   | 3    | 0.6913          | 0.0277         | 0.0090           | 0.75               | 0.0188          | -101.2689      | -103.4891    | -2.2153         | -2.1709       |
| 0.6931        | 4.0   | 5    | 0.6874          | 0.0803         | 0.0298           | 1.0                | 0.0505          | -101.0604      | -102.9630    | -2.2160         | -2.1724       |


### Framework versions

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