---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: data/zephyr-7b-sft-qlora-merged
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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/statking/huggingface/runs/qxp2vmm7)
# zephyr-7b-dpo-qlora

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4933
- Rewards/chosen: -2.1713
- Rewards/rejected: -3.1801
- Rewards/accuracies: 0.7738
- Rewards/margins: 1.0088
- Logps/rejected: -564.8470
- Logps/chosen: -483.4024
- Logits/rejected: -1.4105
- Logits/chosen: -1.4778

## 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: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6185        | 0.1047 | 100  | 0.6240          | -0.3010        | -0.5396          | 0.6964             | 0.2387          | -300.7997      | -296.3736    | -2.2954         | -2.3537       |
| 0.5724        | 0.2094 | 200  | 0.5692          | -0.8434        | -1.3284          | 0.7302             | 0.4850          | -379.6750      | -350.6113    | -2.2448         | -2.2930       |
| 0.5366        | 0.3141 | 300  | 0.5249          | -1.6887        | -2.4863          | 0.7639             | 0.7976          | -495.4648      | -435.1429    | -1.6220         | -1.6850       |
| 0.5397        | 0.4187 | 400  | 0.5253          | -1.2998        | -1.9923          | 0.7698             | 0.6925          | -446.0619      | -396.2537    | -1.7586         | -1.8144       |
| 0.5003        | 0.5234 | 500  | 0.5013          | -1.9982        | -2.9207          | 0.7659             | 0.9226          | -538.9065      | -466.0909    | -1.6049         | -1.6682       |
| 0.4835        | 0.6281 | 600  | 0.5027          | -2.5699        | -3.5168          | 0.7560             | 0.9470          | -598.5182      | -523.2593    | -1.3417         | -1.4125       |
| 0.4715        | 0.7328 | 700  | 0.4956          | -2.1902        | -3.1936          | 0.7679             | 1.0035          | -566.1955      | -485.2894    | -1.3782         | -1.4480       |
| 0.4898        | 0.8375 | 800  | 0.4948          | -2.0401        | -3.0116          | 0.7698             | 0.9715          | -547.9974      | -470.2821    | -1.4275         | -1.4946       |
| 0.4785        | 0.9422 | 900  | 0.4933          | -2.1713        | -3.1801          | 0.7738             | 1.0088          | -564.8470      | -483.4024    | -1.4105         | -1.4778       |


### Framework versions

- PEFT 0.10.0
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1