---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: zephyr-7b-dpo-qlora-fix
  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-qlora-fix

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5279
- Rewards/chosen: -1.0268
- Rewards/rejected: -1.8204
- Rewards/accuracies: 0.7617
- Rewards/margins: 0.7936
- Logps/rejected: -429.5990
- Logps/chosen: -349.1275
- Logits/rejected: 1.1048
- Logits/chosen: 1.1977

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5985        | 0.21  | 100  | 0.6167          | -0.6622        | -0.9981          | 0.7031             | 0.3359          | -347.3664      | -312.6618    | -2.0061         | -1.9992       |
| 0.5302        | 0.42  | 200  | 0.5495          | -0.8758        | -1.5987          | 0.7461             | 0.7229          | -407.4292      | -334.0204    | 0.3116          | 0.4001        |
| 0.533         | 0.63  | 300  | 0.5384          | -0.8142        | -1.5157          | 0.7617             | 0.7016          | -399.1313      | -327.8605    | 0.5716          | 0.6809        |
| 0.518         | 0.84  | 400  | 0.5276          | -1.0554        | -1.8498          | 0.75               | 0.7944          | -432.5438      | -351.9892    | 1.1053          | 1.1955        |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1