---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6773
- Rewards/chosen: -1.5442
- Rewards/rejected: -1.6837
- Rewards/accuracies: 0.5687
- Rewards/margins: 0.1395
- Logps/rejected: -394.7031
- Logps/chosen: -375.1367
- Logits/rejected: -4.4436
- Logits/chosen: -4.4568

## 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  | 0.6921          | -0.0169        | -0.0192          | 0.5427             | 0.0023          | -228.2522      | -222.4038    | -2.6219         | -2.6247       |
| 0.684         | 0.16  | 200  | 0.6873          | -0.0803        | -0.0944          | 0.5567             | 0.0141          | -235.7721      | -228.7468    | -2.7599         | -2.7629       |
| 0.6795        | 0.24  | 300  | 0.6839          | -0.5138        | -0.5516          | 0.5460             | 0.0378          | -281.4856      | -272.0929    | -3.5141         | -3.5199       |
| 0.6561        | 0.32  | 400  | 0.6812          | -0.8158        | -0.8788          | 0.5573             | 0.0630          | -314.2105      | -302.2954    | -3.7484         | -3.7580       |
| 0.633         | 0.4   | 500  | 0.6787          | -0.9027        | -0.9810          | 0.5597             | 0.0782          | -324.4269      | -310.9858    | -4.0978         | -4.1077       |
| 0.6302        | 0.48  | 600  | 0.6785          | -1.1692        | -1.2692          | 0.5597             | 0.1000          | -353.2493      | -337.6355    | -4.4318         | -4.4435       |
| 0.5743        | 0.56  | 700  | 0.6835          | -1.5435        | -1.6640          | 0.5630             | 0.1205          | -392.7273      | -375.0575    | -4.5047         | -4.5182       |
| 0.6443        | 0.64  | 800  | 0.6779          | -1.3860        | -1.5069          | 0.5667             | 0.1209          | -377.0208      | -359.3108    | -4.2453         | -4.2572       |
| 0.6651        | 0.72  | 900  | 0.6819          | -1.6633        | -1.8040          | 0.5693             | 0.1408          | -406.7332      | -387.0414    | -4.6039         | -4.6178       |
| 0.5993        | 0.8   | 1000 | 0.6785          | -1.5776        | -1.7191          | 0.5683             | 0.1415          | -398.2364      | -378.4713    | -4.5356         | -4.5491       |
| 0.6759        | 0.88  | 1100 | 0.6778          | -1.5515        | -1.6923          | 0.5687             | 0.1408          | -395.5604      | -375.8654    | -4.4722         | -4.4855       |
| 0.6402        | 0.96  | 1200 | 0.6773          | -1.5439        | -1.6837          | 0.5690             | 0.1398          | -394.7002      | -375.1028    | -4.4444         | -4.4577       |


### Framework versions

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