---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: NorLLM-AI/NorMistral-7B
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
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# norllm-ai-normistral-7b-align-scan

This model is a fine-tuned version of [NorLLM-AI/NorMistral-7B](https://huggingface.co/NorLLM-AI/NorMistral-7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9559
- Rewards/chosen: -0.0753
- Rewards/rejected: -0.1195
- Rewards/accuracies: 0.6005
- Rewards/margins: 0.0441
- Logps/rejected: -35.8927
- Logps/chosen: -32.0356
- Logits/rejected: -2.8365
- Logits/chosen: -2.8392

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.9581        | 0.26  | 100  | 0.9819          | 0.0013         | -0.0170          | 0.5955             | 0.0182          | -34.8678       | -31.2699     | -2.8027         | -2.8053       |
| 0.8824        | 0.52  | 200  | 0.9602          | -0.0546        | -0.0945          | 0.6092             | 0.0399          | -35.6429       | -31.8280     | -2.8288         | -2.8315       |
| 0.8245        | 0.78  | 300  | 0.9559          | -0.0753        | -0.1195          | 0.6005             | 0.0441          | -35.8927       | -32.0356     | -2.8365         | -2.8392       |


### Framework versions

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