---
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: 0.9176
- Rewards/chosen: -0.0906
- Rewards/rejected: -0.1873
- Rewards/accuracies: 0.5627
- Rewards/margins: 0.0967
- Logps/rejected: -37.7248
- Logps/chosen: -34.1353
- Logits/rejected: -2.2000
- Logits/chosen: -2.2049

## 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 |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.8913        | 0.26  | 100  | -2.2322       | -2.2273         | -34.0407     | -37.5405       | 0.9845          | 0.5195             | -0.0055        | 0.0159          | -0.0215          |
| 0.7293        | 0.52  | 200  | -2.2286       | -2.2238         | -34.0537     | -37.5811       | 0.9602          | 0.5714             | -0.0172        | 0.0408          | -0.0580          |
| 0.6144        | 0.78  | 300  | -2.2249       | -2.2201         | -34.0866     | -37.6032       | 0.9713          | 0.5282             | -0.0468        | 0.0310          | -0.0779          |
| 0.3632        | 1.04  | 400  | 0.9495        | -0.0909         | -0.1434      | 0.5602         | 0.0525          | -37.6760           | -34.1355       | -2.2076         | -2.2125          |
| 0.2994        | 1.3   | 500  | 0.9461        | -0.1647         | -0.2318      | 0.5540         | 0.0671          | -37.7742           | -34.2176       | -2.2162         | -2.2210          |
| 0.3408        | 1.56  | 600  | 0.9077        | -0.0675         | -0.1694      | 0.5868         | 0.1019          | -37.7048           | -34.1096       | -2.2017         | -2.2066          |
| 0.2796        | 1.82  | 700  | 0.9425        | -0.0929         | -0.1626      | 0.5569         | 0.0697          | -37.6973           | -34.1378       | -2.2012         | -2.2061          |
| 0.1052        | 2.08  | 800  | 0.9125        | -0.0848         | -0.1863      | 0.5926         | 0.1015          | -37.7236           | -34.1288       | -2.2003         | -2.2051          |
| 0.095         | 2.34  | 900  | 0.9005        | -0.0802         | -0.1942      | 0.5540         | 0.1140          | -37.7324           | -34.1237       | -2.2019         | -2.2067          |
| 0.123         | 2.6   | 1000 | 0.9194        | -0.0907         | -0.1876      | 0.5511         | 0.0969          | -37.7251           | -34.1353       | -2.1994         | -2.2043          |
| 0.0894        | 2.86  | 1100 | 0.9182        | -0.0915         | -0.1890      | 0.5336         | 0.0976          | -37.7267           | -34.1362       | -2.2001         | -2.2050          |
| 0.1086        | 3.12  | 1200 | 0.9023        | -0.0864         | -0.1976      | 0.5627         | 0.1112          | -37.7362           | -34.1306       | -2.2006         | -2.2054          |
| 0.0577        | 3.38  | 1300 | 0.9154        | -0.0922         | -0.1935      | 0.5598         | 0.1013          | -37.7317           | -34.1370       | -2.2002         | -2.2050          |
| 0.0375        | 3.64  | 1400 | 0.9233        | -0.0896         | -0.1810      | 0.5569         | 0.0914          | -37.7178           | -34.1342       | -2.2002         | -2.2050          |
| 0.0724        | 3.9   | 1500 | 0.9176        | -0.0906         | -0.1873      | 0.5627         | 0.0967          | -37.7248           | -34.1353       | -2.2000         | -2.2049          |


### Framework versions

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