---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF6konly
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpo-qlora-uf6k-5e-6
  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-dpo-qlora-uf6k-5e-6

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the generation/UF6konly dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6104
- Rewards/chosen: -0.1894
- Rewards/rejected: -0.4534
- Rewards/accuracies: 0.6870
- Rewards/margins: 0.2640
- Rewards/margins Max: 1.0323
- Rewards/margins Min: -0.4642
- Rewards/margins Std: 0.5046
- Logps/rejected: -303.9143
- Logps/chosen: -303.5331
- Logits/rejected: -2.7412
- Logits/chosen: -2.7732

## 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: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_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 | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6517        | 0.3   | 100  | 0.6560          | -0.0102        | -0.1055          | 0.6900             | 0.0954          | 0.4105              | -0.2027             | 0.2020              | -269.1304      | -285.6097    | -2.7441         | -2.7791       |
| 0.5795        | 0.61  | 200  | 0.6177          | -0.2139        | -0.4530          | 0.6820             | 0.2391          | 0.9738              | -0.4425             | 0.4777              | -303.8808      | -305.9859    | -2.7382         | -2.7701       |
| 0.5791        | 0.91  | 300  | 0.6103          | -0.2010        | -0.4650          | 0.6860             | 0.2641          | 1.0353              | -0.4649             | 0.5062              | -305.0838      | -304.6903    | -2.7402         | -2.7722       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2