---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF6k
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpo-qlora-uf-oursuf6k-5e-7
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-dpo-qlora-uf-oursuf6k-5e-7

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/UF6k dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6794
- Rewards/chosen: 0.0105
- Rewards/rejected: -0.0268
- Rewards/accuracies: 0.6210
- Rewards/margins: 0.0373
- Rewards/margins Max: 0.1949
- Rewards/margins Min: -0.0994
- Rewards/margins Std: 0.0979
- Logps/rejected: -261.2557
- Logps/chosen: -283.5446
- Logits/rejected: -2.7323
- Logits/chosen: -2.7692

## 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-07
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6876        | 0.15  | 100  | 0.6917          | 0.0050         | 0.0011           | 0.6080             | 0.0039          | 0.0235              | -0.0125             | 0.0119              | -258.4697      | -284.0944    | -2.7664         | -2.8052       |
| 0.6792        | 0.29  | 200  | 0.6883          | 0.0130         | -0.0001          | 0.6370             | 0.0131          | 0.0719              | -0.0363             | 0.0359              | -258.5862      | -283.2935    | -2.7570         | -2.7954       |
| 0.6697        | 0.44  | 300  | 0.6849          | 0.0203         | -0.0017          | 0.6170             | 0.0220          | 0.1184              | -0.0597             | 0.0593              | -258.7473      | -282.5646    | -2.7489         | -2.7863       |
| 0.6571        | 0.58  | 400  | 0.6819          | 0.0205         | -0.0099          | 0.6330             | 0.0303          | 0.1598              | -0.0807             | 0.0801              | -259.5654      | -282.5452    | -2.7352         | -2.7727       |
| 0.6508        | 0.73  | 500  | 0.6802          | 0.0128         | -0.0223          | 0.6270             | 0.0351          | 0.1844              | -0.0939             | 0.0926              | -260.8111      | -283.3109    | -2.7314         | -2.7685       |
| 0.6444        | 0.88  | 600  | 0.6796          | 0.0113         | -0.0257          | 0.6230             | 0.0369          | 0.1937              | -0.0983             | 0.0973              | -261.1460      | -283.4656    | -2.7308         | -2.7678       |


### Framework versions

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