---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: zephyr-7b-dpo-qlora-pairrm
  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-pairrm

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6749
- Rewards/chosen: -1.5494
- Rewards/rejected: -1.6972
- Rewards/accuracies: 0.5740
- Rewards/margins: 0.1478
- Logps/rejected: -396.0607
- Logps/chosen: -375.6489
- Logits/rejected: -4.3831
- Logits/chosen: -4.3963

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6909        | 0.08  | 100  | 0.6922          | -0.0180        | -0.0200          | 0.5237             | 0.0020          | -228.3365      | -222.5081    | -2.6230         | -2.6258       |
| 0.6843        | 0.16  | 200  | 0.6873          | -0.0792        | -0.0932          | 0.5547             | 0.0140          | -235.6526      | -228.6281    | -2.7602         | -2.7632       |
| 0.68          | 0.24  | 300  | 0.6840          | -0.5133        | -0.5505          | 0.5473             | 0.0372          | -281.3831      | -272.0374    | -3.5011         | -3.5067       |
| 0.657         | 0.32  | 400  | 0.6808          | -0.8624        | -0.9278          | 0.5583             | 0.0654          | -319.1186      | -306.9489    | -3.7427         | -3.7523       |
| 0.6342        | 0.4   | 500  | 0.6784          | -0.9237        | -1.0040          | 0.5580             | 0.0803          | -326.7317      | -313.0756    | -4.1065         | -4.1163       |
| 0.6341        | 0.48  | 600  | 0.6767          | -1.2010        | -1.3087          | 0.5630             | 0.1077          | -357.2099      | -340.8084    | -4.4445         | -4.4555       |
| 0.573         | 0.56  | 700  | 0.6808          | -1.5618        | -1.6922          | 0.5633             | 0.1304          | -395.5549      | -376.8888    | -4.4479         | -4.4607       |
| 0.6384        | 0.64  | 800  | 0.6753          | -1.3648        | -1.4912          | 0.5660             | 0.1264          | -375.4593      | -357.1873    | -4.1713         | -4.1824       |
| 0.6728        | 0.72  | 900  | 0.6791          | -1.6856        | -1.8328          | 0.5713             | 0.1471          | -409.6128      | -389.2689    | -4.5250         | -4.5392       |
| 0.603         | 0.8   | 1000 | 0.6767          | -1.6183        | -1.7689          | 0.5770             | 0.1506          | -403.2299      | -382.5415    | -4.4899         | -4.5034       |
| 0.6732        | 0.88  | 1100 | 0.6753          | -1.5670        | -1.7162          | 0.5777             | 0.1493          | -397.9568      | -377.4016    | -4.4104         | -4.4236       |
| 0.6431        | 0.96  | 1200 | 0.6750          | -1.5516        | -1.6995          | 0.5773             | 0.1479          | -396.2836      | -375.8671    | -4.3848         | -4.3979       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.0