---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF
model-index:
- name: zephyr-7b-dpop-ours-qlora-5e-6-epoch3
  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-dpop-ours-qlora-5e-6-epoch3

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: 5.2043
- Positive Losses: 49.6926
- Dpo Losses: 0.6309
- Rewards/chosen: -0.4548
- Rewards/rejected: -0.7461
- Rewards/accuracies: 0.6706
- Rewards/margins: 0.2913
- Rewards/margins Max: 1.0735
- Rewards/margins Min: -0.5345
- Rewards/margins Std: 0.7255
- Logps/rejected: -333.7965
- Logps/chosen: -330.7057
- Logits/rejected: -2.5363
- Logits/chosen: -2.5869

## 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: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Positive Losses | Dpo Losses | 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6275        | 0.28  | 100  | 0.8540          | 1.6941          | 0.6742     | 0.0863         | 0.0420           | 0.6032             | 0.0443          | 0.2147              | -0.1031             | 0.1420              | -254.9810      | -276.5898    | -2.7114         | -2.7527       |
| 0.599         | 0.56  | 200  | 1.9207          | 12.5808         | 0.6560     | -0.0584        | -0.1681          | 0.6389             | 0.1097          | 0.4903              | -0.2555             | 0.3316              | -275.9966      | -291.0660    | -2.7386         | -2.7842       |
| 0.4901        | 0.85  | 300  | 2.8067          | 22.2141         | 0.6507     | -0.1851        | -0.3037          | 0.6389             | 0.1186          | 0.4724              | -0.2575             | 0.3257              | -289.5482      | -303.7292    | -2.7330         | -2.7855       |
| 0.4414        | 1.13  | 400  | 2.6622          | 20.9278         | 0.6386     | -0.1386        | -0.3238          | 0.6746             | 0.1852          | 0.6971              | -0.3749             | 0.4833              | -291.5616      | -299.0799    | -2.6703         | -2.7191       |
| 0.4651        | 1.41  | 500  | 2.6646          | 20.6090         | 0.6384     | -0.1329        | -0.3285          | 0.6627             | 0.1956          | 0.7628              | -0.3883             | 0.5195              | -292.0331      | -298.5117    | -2.6714         | -2.7217       |
| 0.5269        | 1.69  | 600  | 5.0162          | 46.1312         | 0.6337     | -0.4167        | -0.6475          | 0.6627             | 0.2307          | 0.8626              | -0.4616             | 0.5963              | -323.9284      | -326.8941    | -2.6026         | -2.6532       |
| 0.3513        | 1.97  | 700  | 4.8954          | 45.5933         | 0.6399     | -0.4107        | -0.6603          | 0.6627             | 0.2496          | 0.9744              | -0.5254             | 0.6826              | -325.2173      | -326.2958    | -2.5808         | -2.6317       |
| 0.2795        | 2.25  | 800  | 4.7693          | 43.9090         | 0.6266     | -0.3919        | -0.6839          | 0.6825             | 0.2920          | 1.0657              | -0.5266             | 0.7166              | -327.5706      | -324.4103    | -2.5545         | -2.6047       |
| 0.3544        | 2.54  | 900  | 5.3640          | 51.3363         | 0.6314     | -0.4735        | -0.7650          | 0.6706             | 0.2915          | 1.0782              | -0.5345             | 0.7289              | -335.6813      | -332.5704    | -2.5359         | -2.5863       |
| 0.545         | 2.82  | 1000 | 5.2224          | 49.9806         | 0.6312     | -0.4578        | -0.7482          | 0.6627             | 0.2904          | 1.0718              | -0.5332             | 0.7245              | -333.9995      | -330.9984    | -2.5367         | -2.5873       |


### Framework versions

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