---
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: 1.6201
- Rewards/chosen: 0.0327
- Rewards/rejected: 0.0149
- Rewards/accuracies: 0.5249
- Rewards/margins: 0.0178
- Logps/rejected: -37.4793
- Logps/chosen: -33.9527
- Logits/rejected: -2.2332
- Logits/chosen: -2.2381

## 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 |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 1.4583        | 0.26  | 100  | -2.2357       | -2.2308         | -34.0303     | -37.5236       | 1.6162          | 0.5245             | 0.0017         | 0.0045          | -0.0028          |
| 1.279         | 0.52  | 200  | -2.2359       | -2.2311         | -34.0825     | -37.5923       | 1.6100          | 0.5257             | -0.0192        | 0.0111          | -0.0303          |
| 1.0043        | 0.78  | 300  | -2.2312       | -2.2263         | -34.0845     | -37.6004       | 1.5962          | 0.5166             | -0.0200        | 0.0135          | -0.0335          |
| 0.7239        | 1.04  | 400  | 1.6461        | -0.0219         | -0.0311      | 0.5341         | 0.0092          | -37.5945           | -34.0893       | -2.2276         | -2.2324          |
| 0.6061        | 1.3   | 500  | 1.6487        | -0.0274         | -0.0429      | 0.5395         | 0.0155          | -37.6239           | -34.1030       | -2.2282         | -2.2330          |
| 0.9255        | 1.56  | 600  | 1.5912        | 0.0108          | -0.0119      | 0.5544         | 0.0228          | -37.5464           | -34.0074       | -2.2273         | -2.2321          |
| 0.8252        | 1.82  | 700  | 1.6334        | 0.0226          | 0.0045       | 0.5216         | 0.0180          | -37.5053           | -33.9781       | -2.2298         | -2.2346          |
| 0.2848        | 2.08  | 800  | 1.6033        | 0.0153          | -0.0031      | 0.5249         | 0.0184          | -37.5244           | -33.9964       | -2.2313         | -2.2361          |
| 0.3671        | 2.34  | 900  | 1.6569        | 0.0283          | 0.0177       | 0.5162         | 0.0106          | -37.4723           | -33.9637       | -2.2309         | -2.2358          |
| 0.3936        | 2.6   | 1000 | 1.6203        | 0.0348          | 0.0187       | 0.5428         | 0.0161          | -37.4698           | -33.9475       | -2.2325         | -2.2374          |
| 0.3156        | 2.86  | 1100 | 1.6012        | 0.0302          | 0.0108       | 0.5606         | 0.0194          | -37.4896           | -33.9592       | -2.2326         | -2.2375          |
| 0.2893        | 3.12  | 1200 | 1.5705        | 0.0346          | 0.0103       | 0.5365         | 0.0243          | -37.4909           | -33.9480       | -2.2335         | -2.2383          |
| 0.277         | 3.38  | 1300 | 1.6102        | 0.0314          | 0.0121       | 0.5403         | 0.0194          | -37.4865           | -33.9559       | -2.2333         | -2.2382          |
| 0.139         | 3.64  | 1400 | 1.6181        | 0.0273          | 0.0092       | 0.5307         | 0.0181          | -37.4937           | -33.9663       | -2.2333         | -2.2381          |
| 0.24          | 3.9   | 1500 | 1.6201        | 0.0327          | 0.0149       | 0.5249         | 0.0178          | -37.4793           | -33.9527       | -2.2332         | -2.2381          |


### Framework versions

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