---
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6943
- Rewards/chosen: -0.2880
- Rewards/rejected: -0.4573
- Rewards/accuracies: 0.5718
- Rewards/margins: 0.1693
- Logps/rejected: -38.0247
- Logps/chosen: -34.3545
- Logits/rejected: -2.1371
- Logits/chosen: -2.1419

## 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 |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.6464        | 0.26  | 100  | -2.2340       | -2.2291         | -34.0405     | -37.5500       | 0.6903          | 0.5685             | -0.0054        | 0.0246          | -0.0300          |
| 0.5931        | 0.52  | 200  | -2.2316       | -2.2267         | -34.0730     | -37.5769       | 0.6980          | 0.5158             | -0.0346        | 0.0196          | -0.0543          |
| 0.5301        | 0.78  | 300  | -2.2292       | -2.2243         | -34.0962     | -37.6000       | 0.6973          | 0.5390             | -0.0555        | 0.0195          | -0.0750          |
| 0.389         | 1.04  | 400  | 0.6933        | -0.1201         | -0.1849      | 0.5507         | 0.0649          | -37.7221           | -34.1680       | -2.1983         | -2.2032          |
| 0.322         | 1.3   | 500  | 0.7055        | -0.2815         | -0.3556      | 0.5515         | 0.0741          | -37.9118           | -34.3473       | -2.1969         | -2.2017          |
| 0.327         | 1.56  | 600  | 0.6703        | -0.1443         | -0.2944      | 0.5806         | 0.1500          | -37.8437           | -34.1949       | -2.1819         | -2.1867          |
| 0.3034        | 1.82  | 700  | 0.6868        | -0.1851         | -0.3175      | 0.5656         | 0.1323          | -37.8694           | -34.2402       | -2.1701         | -2.1749          |
| 0.1649        | 2.08  | 800  | 0.6812        | -0.2229         | -0.3850      | 0.5951         | 0.1621          | -37.9443           | -34.2822       | -2.1594         | -2.1642          |
| 0.1691        | 2.34  | 900  | 0.6881        | -0.2514         | -0.4183      | 0.5831         | 0.1669          | -37.9814           | -34.3138       | -2.1476         | -2.1524          |
| 0.1953        | 2.6   | 1000 | 0.6957        | -0.2986         | -0.4680      | 0.5918         | 0.1694          | -38.0366           | -34.3663       | -2.1400         | -2.1447          |
| 0.1463        | 2.86  | 1100 | 0.7010        | -0.3003         | -0.4559      | 0.5714         | 0.1555          | -38.0231           | -34.3682       | -2.1379         | -2.1427          |
| 0.1796        | 3.12  | 1200 | 0.6908        | -0.2876         | -0.4581      | 0.5748         | 0.1705          | -38.0257           | -34.3541       | -2.1376         | -2.1423          |
| 0.1264        | 3.38  | 1300 | 0.6911        | -0.2772         | -0.4526      | 0.5893         | 0.1755          | -38.0196           | -34.3425       | -2.1374         | -2.1422          |
| 0.1206        | 3.64  | 1400 | 0.6924        | -0.2868         | -0.4582      | 0.5918         | 0.1714          | -38.0257           | -34.3532       | -2.1371         | -2.1419          |
| 0.1645        | 3.9   | 1500 | 0.6943        | -0.2880         | -0.4573      | 0.5718         | 0.1693          | -38.0247           | -34.3545       | -2.1371         | -2.1419          |


### Framework versions

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