---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: norallm/normistral-7b-warm
model-index:
- name: ap-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. -->

# ap-normistral-7b-align-scan

This model is a fine-tuned version of [norallm/normistral-7b-warm](https://huggingface.co./norallm/normistral-7b-warm) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1081
- Rewards/chosen: -0.0561
- Rewards/rejected: -0.0772
- Rewards/accuracies: 0.4776
- Rewards/margins: 0.0212
- Logps/rejected: -36.0524
- Logps/chosen: -32.5055
- Logits/rejected: 98.7108
- Logits/chosen: 98.7301

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.9852        | 0.26  | 100  | 1.1083          | -0.0231        | -0.0451          | 0.4875             | 0.0220          | -36.0166       | -32.4688     | 98.6830         | 98.6942       |
| 0.902         | 0.52  | 200  | 0.9846          | -0.1464        | -0.3760          | 0.5548             | 0.2296          | -36.3844       | -32.6059     | 98.6271         | 98.6562       |
| 0.671         | 0.78  | 300  | 1.1081          | -0.0561        | -0.0772          | 0.4776             | 0.0212          | -36.0524       | -32.5055     | 98.7108         | 98.7301       |


### Framework versions

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