---
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: 0.4935
- Rewards/chosen: 0.0418
- Rewards/rejected: 0.0072
- Rewards/accuracies: 0.5602
- Rewards/margins: 0.0346
- Logps/rejected: -34.6891
- Logps/chosen: -31.2302
- Logits/rejected: -2.8078
- Logits/chosen: -2.8103

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 1.0237        | 0.26  | 100  | 0.4815          | 0.0235         | -0.0157          | 0.5486             | 0.0392          | -34.7178       | -31.2531     | -2.8136         | -2.8161       |
| 2.9692        | 0.52  | 200  | 0.4973          | 0.0315         | -0.0118          | 0.5631             | 0.0433          | -34.7129       | -31.2431     | -2.8099         | -2.8121       |
| 0.9535        | 0.78  | 300  | 0.4705          | 0.0616         | 0.0107           | 0.5370             | 0.0508          | -34.6847       | -31.2055     | -2.8071         | -2.8098       |


### Framework versions

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