---
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: 6.0745
- Rewards/chosen: -0.0067
- Rewards/rejected: -0.0282
- Rewards/accuracies: 0.5660
- Rewards/margins: 0.0215
- Logps/rejected: -34.8390
- Logps/chosen: -31.3159
- Logits/rejected: -2.8030
- Logits/chosen: -2.8055

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 5.3752        | 0.26  | 100  | 6.0492          | 0.0006         | -0.0242          | 0.5893             | 0.0248          | -34.8191       | -31.2794     | -2.8110         | -2.8137       |
| 5.6214        | 0.52  | 200  | 5.9543          | -0.0060        | -0.0319          | 0.5685             | 0.0259          | -34.8574       | -31.3123     | -2.8103         | -2.8130       |
| 4.7461        | 0.78  | 300  | 5.9715          | 0.0004         | -0.0246          | 0.5748             | 0.0250          | -34.8210       | -31.2804     | -2.8025         | -2.8048       |


### Framework versions

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