---
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: 0.4962
- Rewards/chosen: 0.1141
- Rewards/rejected: 0.0985
- Rewards/accuracies: 0.5357
- Rewards/margins: 0.0156
- Logps/rejected: -37.2704
- Logps/chosen: -33.7494
- Logits/rejected: -2.2270
- Logits/chosen: -2.2318

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4845        | 0.26  | 100  | 0.4982          | 0.0465         | 0.0373           | 0.5511             | 0.0092          | -37.4234       | -33.9184     | -2.2298         | -2.2347       |
| 0.466         | 0.52  | 200  | 0.4965          | 0.1019         | 0.0871           | 0.5453             | 0.0148          | -37.2989       | -33.7799     | -2.2288         | -2.2337       |
| 0.4349        | 0.78  | 300  | 0.4962          | 0.1141         | 0.0985           | 0.5357             | 0.0156          | -37.2704       | -33.7494     | -2.2270         | -2.2318       |


### Framework versions

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