---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
base_model: openbmb/Eurus-7b-sft
datasets:
- generation/UF
model-index:
- name: eurus-dpo-qlora-uf-ours-5e-7
  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. -->

# eurus-dpo-qlora-uf-ours-5e-7

This model is a fine-tuned version of [openbmb/Eurus-7b-sft](https://huggingface.co/openbmb/Eurus-7b-sft) on the generation/UF dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8255
- Rewards/chosen: -2.6534
- Rewards/rejected: -3.1228
- Rewards/accuracies: 0.5920
- Rewards/margins: 0.4694
- Rewards/margins Max: 3.5074
- Rewards/margins Min: -2.2740
- Rewards/margins Std: 1.9132
- Logps/rejected: -569.8001
- Logps/chosen: -540.2178
- Logits/rejected: -1.8291
- Logits/chosen: -1.9159

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6787        | 0.28  | 100  | 0.6902          | -0.0196        | -0.0275          | 0.6050             | 0.0078          | 0.0658              | -0.0439             | 0.0352              | -260.2682      | -276.8446    | -2.1835         | -2.3057       |
| 0.6038        | 0.56  | 200  | 0.6829          | -0.2121        | -0.2562          | 0.5930             | 0.0440          | 0.4186              | -0.2883             | 0.2265              | -283.1364      | -296.0924    | -2.1563         | -2.2736       |
| 0.4746        | 0.85  | 300  | 0.7105          | -0.7773        | -0.8546          | 0.5660             | 0.0773          | 1.0401              | -0.8434             | 0.6093              | -342.9795      | -352.6140    | -2.0904         | -2.1991       |
| 0.4288        | 1.13  | 400  | 0.7566          | -1.3505        | -1.4749          | 0.5700             | 0.1245          | 1.6613              | -1.3515             | 0.9884              | -405.0142      | -409.9261    | -2.0237         | -2.1254       |
| 0.3807        | 1.41  | 500  | 0.7770          | -1.7690        | -1.9759          | 0.5760             | 0.2069          | 2.1466              | -1.6287             | 1.2537              | -455.1077      | -451.7817    | -1.9637         | -2.0584       |
| 0.3449        | 1.69  | 600  | 0.8093          | -2.3053        | -2.6236          | 0.5730             | 0.3183          | 2.7910              | -1.9845             | 1.5908              | -519.8788      | -505.4114    | -1.8829         | -1.9707       |
| 0.3253        | 1.97  | 700  | 0.8022          | -2.3688        | -2.7622          | 0.5900             | 0.3934          | 3.0600              | -2.0479             | 1.6969              | -533.7401      | -511.7566    | -1.8637         | -1.9524       |
| 0.2445        | 2.25  | 800  | 0.8262          | -2.6179        | -3.0584          | 0.5880             | 0.4405          | 3.3852              | -2.2378             | 1.8658              | -563.3621      | -536.6691    | -1.8329         | -1.9194       |
| 0.3015        | 2.54  | 900  | 0.8293          | -2.6774        | -3.1416          | 0.5930             | 0.4642          | 3.5043              | -2.2912             | 1.9184              | -571.6796      | -542.6185    | -1.8281         | -1.9147       |
| 0.2725        | 2.82  | 1000 | 0.8251          | -2.6509        | -3.1193          | 0.5930             | 0.4684          | 3.5001              | -2.2741             | 1.9114              | -569.4471      | -539.9697    | -1.8277         | -1.9148       |


### Framework versions

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