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

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1964.4768
- Rewards/chosen: -0.1407
- Rewards/rejected: -0.2359
- Rewards/accuracies: 0.7243
- Rewards/margins: 0.0952
- Logps/rejected: -25.2353
- Logps/chosen: -15.6615
- Logits/rejected: -6.0582
- Logits/chosen: -5.0283

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 2178.8832     | 0.3017 | 100  | 2139.6340       | -0.1014        | -0.1518          | 0.6781             | 0.0504          | -16.8316       | -11.7293     | -3.3193         | -3.1137       |
| 1986.1408     | 0.6033 | 200  | 1989.8781       | -0.1408        | -0.2280          | 0.7055             | 0.0872          | -24.4503       | -15.6687     | -6.1921         | -5.2910       |
| 2000.1098     | 0.9050 | 300  | 1964.4768       | -0.1407        | -0.2359          | 0.7243             | 0.0952          | -25.2353       | -15.6615     | -6.0582         | -5.0283       |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1