---
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
base_model: NorLLM-AI/NorMistral-7B
datasets:
- hugodk-sch/aftonposten_title_prefs
model-index:
- name: norllm-ai-normistral-7b-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. -->

# norllm-ai-normistral-7b-align-scan

This model is a fine-tuned version of [data/norllm-ai-normistral-7b-sft-qlora](https://huggingface.co/data/norllm-ai-normistral-7b-sft-qlora) on the hugodk-sch/aftonposten_title_prefs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8067
- Rewards/chosen: -1.1692
- Rewards/rejected: -1.5184
- Rewards/accuracies: 0.5918
- Rewards/margins: 0.3492
- Logps/rejected: -37.2289
- Logps/chosen: -33.2312
- Logits/rejected: -2.8266
- Logits/chosen: -2.8291

## 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 | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6746        | 0.26  | 100  | 0.6828          | 0.0185         | -0.0185          | 0.5694             | 0.0370          | -34.7290       | -31.2516     | -2.8058         | -2.8084       |
| 0.6195        | 0.52  | 200  | 0.6735          | -0.0458        | -0.1322          | 0.5511             | 0.0864          | -34.9185       | -31.3587     | -2.8176         | -2.8201       |
| 0.5567        | 0.78  | 300  | 0.6810          | -0.1233        | -0.2426          | 0.5723             | 0.1192          | -35.1024       | -31.4880     | -2.8203         | -2.8231       |
| 0.2251        | 1.04  | 400  | 0.6779          | -0.3249        | -0.4970          | 0.6013             | 0.1720          | -35.5264       | -31.8240     | -2.8175         | -2.8204       |
| 0.2082        | 1.3   | 500  | 0.6859          | -0.4136        | -0.6723          | 0.6092             | 0.2587          | -35.8186       | -31.9717     | -2.8475         | -2.8487       |
| 0.2119        | 1.56  | 600  | 0.6993          | -0.5421        | -0.7899          | 0.5926             | 0.2478          | -36.0147       | -32.1860     | -2.8301         | -2.8322       |
| 0.1579        | 1.82  | 700  | 0.7178          | -0.6062        | -0.8251          | 0.5806             | 0.2189          | -36.0734       | -32.2928     | -2.8261         | -2.8284       |
| 0.0649        | 2.08  | 800  | 0.7260          | -0.7190        | -1.0000          | 0.6071             | 0.2810          | -36.3648       | -32.4808     | -2.8243         | -2.8271       |
| 0.1014        | 2.34  | 900  | 0.7758          | -1.0050        | -1.3365          | 0.5831             | 0.3315          | -36.9256       | -32.9574     | -2.8278         | -2.8304       |
| 0.0425        | 2.6   | 1000 | 0.7952          | -1.0994        | -1.4459          | 0.5826             | 0.3465          | -37.1080       | -33.1148     | -2.8238         | -2.8267       |
| 0.0878        | 2.86  | 1100 | 0.7929          | -1.0931        | -1.4389          | 0.5889             | 0.3458          | -37.0962       | -33.1042     | -2.8257         | -2.8283       |
| 0.0534        | 3.12  | 1200 | 0.7997          | -1.1321        | -1.4857          | 0.5889             | 0.3535          | -37.1742       | -33.1693     | -2.8258         | -2.8285       |
| 0.035         | 3.38  | 1300 | 0.8024          | -1.1445        | -1.5019          | 0.5889             | 0.3575          | -37.2014       | -33.1899     | -2.8266         | -2.8291       |
| 0.0126        | 3.64  | 1400 | 0.8126          | -1.1630        | -1.5088          | 0.5860             | 0.3457          | -37.2128       | -33.2208     | -2.8267         | -2.8294       |
| 0.0525        | 3.9   | 1500 | 0.8088          | -1.1685        | -1.5136          | 0.5918             | 0.3451          | -37.2208       | -33.2299     | -2.8265         | -2.8292       |


### Framework versions

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