---
library_name: peft
tags:
- trl
- dpo
- 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: 0.6903
- Rewards/chosen: -0.0237
- Rewards/rejected: -0.0486
- Rewards/accuracies: 0.5191
- Rewards/margins: 0.0249
- Logps/rejected: -37.5860
- Logps/chosen: -34.0684
- Logits/rejected: -2.2229
- Logits/chosen: -2.2277

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6577        | 0.26  | 100  | 0.6949          | -0.0038        | -0.0133          | 0.5316             | 0.0095          | -37.5357       | -34.0400     | -2.2289         | -2.2338       |
| 0.6156        | 0.52  | 200  | 0.6943          | -0.0132        | -0.0288          | 0.5191             | 0.0156          | -37.5578       | -34.0535     | -2.2268         | -2.2317       |
| 0.5468        | 0.78  | 300  | 0.6903          | -0.0237        | -0.0486          | 0.5191             | 0.0249          | -37.5860       | -34.0684     | -2.2229         | -2.2277       |


### Framework versions

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