---
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: 0.4684
- Rewards/chosen: 0.3669
- Rewards/rejected: 0.2161
- Rewards/accuracies: 0.5743
- Rewards/margins: 0.1508
- Logps/rejected: -37.2465
- Logps/chosen: -33.5759
- Logits/rejected: -2.1622
- Logits/chosen: -2.1669

## 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 |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.4749        | 0.26  | 100  | -2.2375       | -2.2327         | -33.8512     | -37.3537       | 0.4963          | 0.5336             | 0.1467         | 0.0164          | 0.1303           |
| 0.4376        | 0.52  | 200  | -2.2339       | -2.2291         | -33.7896     | -37.2955       | 0.4956          | 0.5486             | 0.1959         | 0.0191          | 0.1769           |
| 0.3835        | 0.78  | 300  | -2.2312       | -2.2264         | -33.7789     | -37.2872       | 0.4950          | 0.5245             | 0.2045         | 0.0210          | 0.1836           |
| 0.3117        | 1.04  | 400  | 0.4891        | 0.3054          | 0.2586       | 0.5652         | 0.0468          | -37.1934           | -33.6528       | -2.2112         | -2.2160          |
| 0.2459        | 1.3   | 500  | 0.4885        | 0.3186          | 0.2671       | 0.5623         | 0.0514          | -37.1827           | -33.6364       | -2.1858         | -2.1906          |
| 0.2639        | 1.56  | 600  | 0.4750        | 0.3623          | 0.2503       | 0.5855         | 0.1120          | -37.2038           | -33.5817       | -2.1784         | -2.1832          |
| 0.2437        | 1.82  | 700  | 0.4742        | 0.3483          | 0.2298       | 0.5748         | 0.1184          | -37.2294           | -33.5992       | -2.1739         | -2.1786          |
| 0.1567        | 2.08  | 800  | 0.4695        | 0.3879          | 0.2480       | 0.5826         | 0.1399          | -37.2066           | -33.5496       | -2.1755         | -2.1803          |
| 0.131         | 2.34  | 900  | 0.4716        | 0.3533          | 0.2206       | 0.5860         | 0.1326          | -37.2408           | -33.5930       | -2.1658         | -2.1705          |
| 0.1784        | 2.6   | 1000 | 0.4673        | 0.3677          | 0.2130       | 0.5860         | 0.1548          | -37.2504           | -33.5749       | -2.1646         | -2.1693          |
| 0.1956        | 2.86  | 1100 | 0.4706        | 0.3580          | 0.2180       | 0.5860         | 0.1400          | -37.2442           | -33.5871       | -2.1622         | -2.1669          |
| 0.137         | 3.12  | 1200 | 0.4680        | 0.3694          | 0.2182       | 0.6063         | 0.1511          | -37.2438           | -33.5728       | -2.1625         | -2.1672          |
| 0.1211        | 3.38  | 1300 | 0.4705        | 0.3633          | 0.2219       | 0.5918         | 0.1414          | -37.2393           | -33.5805       | -2.1622         | -2.1669          |
| 0.1553        | 3.64  | 1400 | 0.4654        | 0.3698          | 0.2068       | 0.6034         | 0.1630          | -37.2582           | -33.5723       | -2.1621         | -2.1668          |
| 0.1447        | 3.9   | 1500 | 0.4684        | 0.3669          | 0.2161       | 0.5743         | 0.1508          | -37.2465           | -33.5759       | -2.1622         | -2.1669          |


### Framework versions

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