---
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: 0.9913
- Rewards/chosen: -0.0567
- Rewards/rejected: -0.0655
- Rewards/accuracies: 0.5424
- Rewards/margins: 0.0088
- Logps/rejected: -44.0648
- Logps/chosen: -39.7075
- Logits/rejected: -1.5832
- Logits/chosen: -1.5871

## 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 |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.9987        | 0.26  | 100  | -2.2313       | -2.2264         | -34.0499     | -37.5528       | 0.9998          | 0.5336             | -0.0002        | 0.0002          | -0.0004          |
| 0.9965        | 0.52  | 200  | -2.2252       | -2.2204         | -34.0618     | -37.5790       | 0.9996          | 0.5071             | -0.0003        | 0.0004          | -0.0006          |
| 0.9925        | 0.78  | 300  | -2.2214       | -2.2166         | -34.0836     | -37.6063       | 0.9996          | 0.5594             | -0.0005        | 0.0004          | -0.0009          |
| 0.986         | 1.04  | 400  | 0.9994        | -0.0014         | -0.0019      | 0.5212         | 0.0006          | -37.7105           | -34.1717       | -2.1877         | -2.1926          |
| 0.9781        | 1.3   | 500  | 0.9987        | -0.0031         | -0.0044      | 0.5855         | 0.0013          | -37.9551           | -34.3418       | -2.1137         | -2.1185          |
| 0.9774        | 1.56  | 600  | 0.9973        | -0.0073         | -0.0101      | 0.5743         | 0.0027          | -38.5228           | -34.7671       | -2.0162         | -2.0208          |
| 0.9688        | 1.82  | 700  | 0.9969        | -0.0143         | -0.0174      | 0.5482         | 0.0031          | -39.2598           | -35.4681       | -1.9235         | -1.9280          |
| 0.957         | 2.08  | 800  | 0.9954        | -0.0214         | -0.0260      | 0.5540         | 0.0046          | -40.1194           | -36.1733       | -1.8363         | -1.8407          |
| 0.9358        | 2.34  | 900  | 0.9939        | -0.0362         | -0.0423      | 0.5365         | 0.0061          | -41.7483           | -37.6532       | -1.6988         | -1.7029          |
| 0.9535        | 2.6   | 1000 | 0.9921        | -0.0511         | -0.0591      | 0.5453         | 0.0079          | -43.4237           | -39.1479       | -1.6143         | -1.6183          |
| 0.9616        | 2.86  | 1100 | 0.9916        | -0.0562         | -0.0646      | 0.5453         | 0.0084          | -43.9754           | -39.6505       | -1.5880         | -1.5920          |
| 0.9167        | 3.12  | 1200 | 0.9912        | -0.0563         | -0.0651      | 0.5482         | 0.0088          | -44.0289           | -39.6666       | -1.5851         | -1.5890          |
| 0.9033        | 3.38  | 1300 | 0.9913        | -0.0570         | -0.0657      | 0.5453         | 0.0087          | -44.0868           | -39.7316       | -1.5817         | -1.5856          |
| 0.9285        | 3.64  | 1400 | 0.9912        | -0.0569         | -0.0657      | 0.5395         | 0.0088          | -44.0852           | -39.7216       | -1.5825         | -1.5864          |
| 0.9196        | 3.9   | 1500 | 0.9913        | -0.0567         | -0.0655      | 0.5424         | 0.0088          | -44.0648           | -39.7075       | -1.5832         | -1.5871          |


### Framework versions

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