---
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: 2463.1057
- Rewards/chosen: -0.0198
- Rewards/rejected: -0.0244
- Rewards/accuracies: 0.5656
- Rewards/margins: 0.0046
- Logps/rejected: -39.9582
- Logps/chosen: -36.0192
- Logits/rejected: -1.8605
- Logits/chosen: -1.8648

## 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 |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 2484.2775     | 0.26  | 100  | -2.2323       | -2.2275         | -34.0187     | -37.5204       | 2498.1597       | 0.5565             | 0.0002         | 0.0002          | -0.0000          |
| 2464.7859     | 0.52  | 200  | -2.2291       | -2.2242         | -34.0338     | -37.5574       | 2496.0791       | 0.5544             | 0.0000         | 0.0004          | -0.0004          |
| 2430.5529     | 0.78  | 300  | -2.2262       | -2.2213         | -34.0629     | -37.5906       | 2495.6680       | 0.5390             | -0.0003        | 0.0005          | -0.0007          |
| 2370.302      | 1.04  | 400  | 2492.4653     | -0.0006         | -0.0014      | 0.5623         | 0.0008          | -37.6613           | -34.0994       | -2.1946         | -2.1994          |
| 2298.9412     | 1.3   | 500  | 2488.4062     | -0.0025         | -0.0037      | 0.5772         | 0.0013          | -37.8883           | -34.2804       | -2.1295         | -2.1343          |
| 2298.7582     | 1.56  | 600  | 2477.6589     | -0.0053         | -0.0077      | 0.6121         | 0.0024          | -38.2854           | -34.5600       | -2.0589         | -2.0636          |
| 2254.2998     | 1.82  | 700  | 2477.6624     | -0.0096         | -0.0122      | 0.5540         | 0.0026          | -38.7330           | -34.9921       | -2.0040         | -2.0086          |
| 2173.4393     | 2.08  | 800  | 2470.5903     | -0.0118         | -0.0152      | 0.5569         | 0.0034          | -39.0386           | -35.2171       | -1.9665         | -1.9710          |
| 2065.36       | 2.34  | 900  | 2467.7329     | -0.0156         | -0.0195      | 0.5598         | 0.0039          | -39.4668           | -35.5978       | -1.9122         | -1.9166          |
| 2196.3246     | 2.6   | 1000 | 2464.3682     | -0.0186         | -0.0229      | 0.5511         | 0.0044          | -39.8091           | -35.8901       | -1.8782         | -1.8826          |
| 2237.6512     | 2.86  | 1100 | 2464.2991     | -0.0196         | -0.0241      | 0.5453         | 0.0044          | -39.9232           | -35.9976       | -1.8646         | -1.8690          |
| 2032.5133     | 3.12  | 1200 | 2464.4653     | -0.0199         | -0.0243      | 0.5598         | 0.0044          | -39.9447           | -36.0201       | -1.8618         | -1.8662          |
| 1967.852      | 3.38  | 1300 | 2461.2036     | -0.0197         | -0.0245      | 0.5540         | 0.0048          | -39.9632           | -36.0051       | -1.8608         | -1.8652          |
| 2084.0914     | 3.64  | 1400 | 2462.6121     | -0.0199         | -0.0245      | 0.5598         | 0.0046          | -39.9675           | -36.0243       | -1.8613         | -1.8656          |
| 2032.7156     | 3.9   | 1500 | 2463.1057     | -0.0198         | -0.0244      | 0.5656         | 0.0046          | -39.9582           | -36.0192       | -1.8605         | -1.8648          |


### Framework versions

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