---
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: 0.9732
- Rewards/chosen: -0.0459
- Rewards/rejected: -0.0732
- Rewards/accuracies: 0.5071
- Rewards/margins: 0.0273
- Logps/rejected: -37.6386
- Logps/chosen: -34.1110
- Logits/rejected: -2.2194
- Logits/chosen: -2.2243

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.9204        | 0.26  | 100  | 0.9816          | -0.0008        | -0.0193          | 0.5395             | 0.0185          | -37.5487       | -34.0358     | -2.2268         | -2.2317       |
| 0.8045        | 0.52  | 200  | 0.9791          | -0.0166        | -0.0378          | 0.5361             | 0.0211          | -37.5796       | -34.0623     | -2.2238         | -2.2287       |
| 0.7186        | 0.78  | 300  | 0.9732          | -0.0459        | -0.0732          | 0.5071             | 0.0273          | -37.6386       | -34.1110     | -2.2194         | -2.2243       |


### Framework versions

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