---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpo-qlora-uf-ours-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-uf-ours-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/UF dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2165
- Rewards/chosen: -11.7614
- Rewards/rejected: -13.3097
- Rewards/accuracies: 0.6570
- Rewards/margins: 1.5483
- Rewards/margins Max: 7.5475
- Rewards/margins Min: -4.6893
- Rewards/margins Std: 4.0954
- Logps/rejected: -1589.5470
- Logps/chosen: -1460.7323
- Logits/rejected: -1.6252
- Logits/chosen: -1.6946

## 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: 3

### 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5649        | 0.28  | 100  | 0.6725          | -0.0977        | -0.1746          | 0.6030             | 0.0768          | 0.4635              | -0.2796             | 0.2508              | -276.0350      | -294.3655    | -2.6249         | -2.6588       |
| 0.2267        | 0.56  | 200  | 0.7398          | -1.8992        | -2.3924          | 0.6440             | 0.4932          | 2.6714              | -1.9000             | 1.5476              | -497.8146      | -474.5120    | -1.6188         | -1.6714       |
| 0.1011        | 0.85  | 300  | 0.9229          | -7.9227        | -8.9155          | 0.6470             | 0.9928          | 5.0516              | -3.0808             | 2.7076              | -1150.1254     | -1076.8595   | -1.4629         | -1.5271       |
| 0.1396        | 1.13  | 400  | 0.9697          | -8.3240        | -9.5107          | 0.6780             | 1.1867          | 5.7375              | -3.3923             | 3.0341              | -1209.6520     | -1116.9946   | -1.5979         | -1.6671       |
| 0.078         | 1.41  | 500  | 1.0425          | -10.1968       | -11.4586         | 0.6540             | 1.2617          | 6.1989              | -3.7953             | 3.3487              | -1404.4370     | -1304.2783   | -1.5553         | -1.6255       |
| 0.0765        | 1.69  | 600  | 1.1715          | -10.2797       | -11.7639         | 0.6610             | 1.4842          | 7.0606              | -4.5080             | 3.9021              | -1434.9708     | -1312.5632   | -1.6462         | -1.7167       |
| 0.0521        | 1.97  | 700  | 1.1039          | -12.0992       | -13.3377         | 0.6510             | 1.2385          | 6.6189              | -4.0801             | 3.5402              | -1592.3467     | -1494.5151   | -1.6384         | -1.7083       |
| 0.0325        | 2.25  | 800  | 1.2214          | -10.2420       | -11.8359         | 0.6600             | 1.5939          | 7.4536              | -4.7387             | 4.1170              | -1442.1708     | -1308.7980   | -1.6935         | -1.7630       |
| 0.0256        | 2.54  | 900  | 1.2020          | -11.6730       | -13.2282         | 0.6620             | 1.5552          | 7.4620              | -4.6114             | 4.0515              | -1581.3958     | -1451.8892   | -1.6319         | -1.7014       |
| 0.0246        | 2.82  | 1000 | 1.2154          | -11.8150       | -13.3570         | 0.6570             | 1.5420          | 7.5369              | -4.6846             | 4.0907              | -1594.2795     | -1466.0969   | -1.6263         | -1.6956       |


### Framework versions

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