---
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
base_model: NbAiLab/nb-gpt-j-6B-v2
datasets:
- hugodk-sch/aftonposten_title_prefs
model-index:
- name: aftonposten-6b-align-scan
  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. -->

# aftonposten-6b-align-scan

This model is a fine-tuned version of [data/ap-gpt-j-6b-sft-qlora-04-08](https://huggingface.co./data/ap-gpt-j-6b-sft-qlora-04-08) on the hugodk-sch/aftonposten_title_prefs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9279
- Rewards/chosen: -0.1421
- Rewards/rejected: -0.2171
- Rewards/accuracies: 0.5748
- Rewards/margins: 0.0750
- Logps/rejected: -38.0594
- Logps/chosen: -34.3898
- Logits/rejected: -2.1358
- Logits/chosen: -2.1406

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.9521        | 0.26  | 100  | -2.2327       | -2.2279         | -34.0381     | -37.5401       | 0.9920          | 0.5361             | -0.0014        | 0.0080          | -0.0094          |
| 0.8515        | 0.52  | 200  | -2.2274       | -2.2226         | -34.0451     | -37.5730       | 0.9817          | 0.5594             | -0.0042        | 0.0184          | -0.0226          |
| 0.7473        | 0.78  | 300  | -2.2234       | -2.2186         | -34.0922     | -37.6165       | 0.9830          | 0.5390             | -0.0231        | 0.0169          | -0.0399          |
| 0.5492        | 1.04  | 400  | 0.9600        | -0.0653         | -0.1052      | 0.5565         | 0.0399          | -37.7797           | -34.1978       | -2.1852         | -2.1901          |
| 0.4504        | 1.3   | 500  | 0.9656        | -0.1403         | -0.1747      | 0.5685         | 0.0344          | -37.9533           | -34.3853       | -2.1770         | -2.1818          |
| 0.4511        | 1.56  | 600  | 0.9338        | -0.0835         | -0.1505      | 0.5951         | 0.0670          | -37.8930           | -34.2433       | -2.1565         | -2.1613          |
| 0.3805        | 1.82  | 700  | 0.9385        | -0.1061         | -0.1691      | 0.5511         | 0.0631          | -37.9394           | -34.2997       | -2.1442         | -2.1490          |
| 0.2038        | 2.08  | 800  | 0.9334        | -0.1274         | -0.1969      | 0.5689         | 0.0695          | -38.0088           | -34.3529       | -2.1367         | -2.1415          |
| 0.2332        | 2.34  | 900  | 0.9320        | -0.1353         | -0.2057      | 0.5718         | 0.0704          | -38.0309           | -34.3727       | -2.1352         | -2.1400          |
| 0.28          | 2.6   | 1000 | 0.9271        | -0.1454         | -0.2223      | 0.5714         | 0.0769          | -38.0723           | -34.3980       | -2.1345         | -2.1393          |
| 0.1953        | 2.86  | 1100 | 0.9399        | -0.1551         | -0.2188      | 0.5631         | 0.0637          | -38.0636           | -34.4223       | -2.1342         | -2.1390          |
| 0.2936        | 3.12  | 1200 | 0.9311        | -0.1412         | -0.2138      | 0.5864         | 0.0725          | -38.0510           | -34.3876       | -2.1359         | -2.1407          |
| 0.1526        | 3.38  | 1300 | 0.9307        | -0.1413         | -0.2150      | 0.5864         | 0.0737          | -38.0541           | -34.3877       | -2.1350         | -2.1398          |
| 0.1121        | 3.64  | 1400 | 0.9250        | -0.1377         | -0.2153      | 0.6038         | 0.0776          | -38.0548           | -34.3788       | -2.1356         | -2.1404          |
| 0.215         | 3.9   | 1500 | 0.9280        | -0.1384         | -0.2143      | 0.5806         | 0.0758          | -38.0523           | -34.3807       | -2.1358         | -2.1405          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1