---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
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 [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: -0.2038
- Rewards/chosen: -1.1628
- Rewards/rejected: -2.4457
- Rewards/accuracies: 0.6840
- Rewards/margins: 1.2829
- Logps/rejected: -252.9479
- Logps/chosen: -282.7848
- Logits/rejected: -2.9400
- Logits/chosen: -2.9655

## 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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6137        | 1.0   | 968  | 0.6277          | -0.0287        | -0.4191          | 0.7040             | 0.3905          | -232.6823      | -271.4433    | -2.9989         | -3.0154       |
| 0.0705        | 2.0   | 1937 | 0.0570          | -0.6708        | -1.6676          | 0.6960             | 0.9968          | -245.1669      | -277.8647    | -2.9609         | -2.9830       |
| -0.2602       | 3.0   | 2904 | -0.2038         | -1.1628        | -2.4457          | 0.6840             | 1.2829          | -252.9479      | -282.7848    | -2.9400         | -2.9655       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1