---
base_model: mistralai/Mistral-7B-v0.1
library_name: peft
license: apache-2.0
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mistral_dpo3
  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. -->

# mistral_dpo3

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6493
- Rewards/chosen: -0.0199
- Rewards/rejected: -0.1207
- Rewards/accuracies: 0.6902
- Rewards/margins: 0.1008
- Logps/rejected: -49.8290
- Logps/chosen: -78.6185
- Logits/rejected: -0.5023
- Logits/chosen: -0.7841

## 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-07
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- training_steps: 200

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6892        | 0.1236 | 40   | 0.6854          | -0.0095        | -0.0254          | 0.6975             | 0.0159          | -48.8761       | -78.5142     | -0.5066         | -0.7881       |
| 0.6746        | 0.2473 | 80   | 0.6703          | 0.0082         | -0.0405          | 0.6957             | 0.0487          | -49.0272       | -78.3371     | -0.5048         | -0.7865       |
| 0.6579        | 0.3709 | 120  | 0.6587          | 0.0022         | -0.0744          | 0.6938             | 0.0766          | -49.3662       | -78.3975     | -0.5036         | -0.7854       |
| 0.6539        | 0.4946 | 160  | 0.6516          | -0.0128        | -0.1074          | 0.6902             | 0.0946          | -49.6963       | -78.5475     | -0.5026         | -0.7844       |
| 0.6464        | 0.6182 | 200  | 0.6493          | -0.0199        | -0.1207          | 0.6902             | 0.1008          | -49.8290       | -78.6185     | -0.5023         | -0.7841       |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1