---
library_name: peft
tags:
- trl
- dpo
- alignment-handbook
- generated_from_trainer
base_model: NbAiLab/nb-gpt-j-6B-v2
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 [NbAiLab/nb-gpt-j-6B-v2](https://huggingface.co./NbAiLab/nb-gpt-j-6B-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6820
- Rewards/chosen: -0.2813
- Rewards/rejected: -0.4578
- Rewards/accuracies: 0.5743
- Rewards/margins: 0.1765
- Logps/rejected: -38.0889
- Logps/chosen: -34.3862
- Logits/rejected: -2.1265
- Logits/chosen: -2.1312

## 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 |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.6538        | 0.26  | 100  | -2.2339       | -2.2290         | -34.0302     | -37.5273       | 0.6955          | 0.5108             | 0.0035         | 0.0120          | -0.0085          |
| 0.6015        | 0.52  | 200  | -2.2322       | -2.2274         | -34.0607     | -37.5657       | 0.6956          | 0.5249             | -0.0209        | 0.0183          | -0.0393          |
| 0.5385        | 0.78  | 300  | -2.2294       | -2.2246         | -34.0909     | -37.5973       | 0.6957          | 0.5399             | -0.0451        | 0.0194          | -0.0645          |
| 0.4017        | 1.04  | 400  | 0.6775        | -0.0241         | -0.0945      | 0.6005         | 0.0703          | -37.6347           | -34.0647       | -2.2052         | -2.2100          |
| 0.3216        | 1.3   | 500  | 0.6820        | -0.1165         | -0.2131      | 0.5768         | 0.0966          | -37.7830           | -34.1802       | -2.1659         | -2.1707          |
| 0.336         | 1.56  | 600  | 0.6618        | -0.1839         | -0.3388      | 0.6242         | 0.1549          | -37.9401           | -34.2644       | -2.1554         | -2.1602          |
| 0.3559        | 1.82  | 700  | 0.6947        | -0.2571         | -0.3713      | 0.5341         | 0.1141          | -37.9807           | -34.3560       | -2.1535         | -2.1583          |
| 0.1978        | 2.08  | 800  | 0.6838        | -0.2324         | -0.3669      | 0.5835         | 0.1345          | -37.9753           | -34.3250       | -2.1501         | -2.1549          |
| 0.1619        | 2.34  | 900  | 0.6788        | -0.2463         | -0.4156      | 0.5860         | 0.1693          | -38.0361           | -34.3424       | -2.1384         | -2.1431          |
| 0.209         | 2.6   | 1000 | 0.6777        | -0.2767         | -0.4535      | 0.5918         | 0.1767          | -38.0835           | -34.3805       | -2.1309         | -2.1357          |
| 0.2513        | 2.86  | 1100 | 0.6897        | -0.2986         | -0.4591      | 0.5831         | 0.1605          | -38.0905           | -34.4077       | -2.1270         | -2.1317          |
| 0.1713        | 3.12  | 1200 | 0.6780        | -0.2775         | -0.4614      | 0.5947         | 0.1839          | -38.0934           | -34.3814       | -2.1270         | -2.1317          |
| 0.1199        | 3.38  | 1300 | 0.6740        | -0.2726         | -0.4645      | 0.5980         | 0.1919          | -38.0972           | -34.3753       | -2.1269         | -2.1317          |
| 0.1578        | 3.64  | 1400 | 0.6839        | -0.2867         | -0.4600      | 0.5860         | 0.1734          | -38.0917           | -34.3929       | -2.1266         | -2.1314          |
| 0.1614        | 3.9   | 1500 | 0.6820        | -0.2813         | -0.4578      | 0.5743         | 0.1765          | -38.0889           | -34.3862       | -2.1265         | -2.1312          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1