---
base_model: mistralai/Mistral-7B-v0.1
library_name: peft
license: apache-2.0
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mistral_dpo2
  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_dpo2

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: 0.6594
- Rewards/chosen: -0.0073
- Rewards/rejected: -0.0880
- Rewards/accuracies: 0.6532
- Rewards/margins: 0.0807
- Logps/rejected: -47.9164
- Logps/chosen: -70.6164
- Logits/rejected: -0.6606
- Logits/chosen: -0.8711

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6886        | 0.1251 | 40   | 0.6857          | 0.0161         | 0.0006           | 0.6532             | 0.0154          | -47.0302       | -70.3825     | -0.6637         | -0.8738       |
| 0.6729        | 0.2502 | 80   | 0.6731          | 0.0155         | -0.0284          | 0.6587             | 0.0438          | -47.3201       | -70.3884     | -0.6620         | -0.8723       |
| 0.6661        | 0.3753 | 120  | 0.6656          | 0.0214         | -0.0413          | 0.6532             | 0.0627          | -47.4494       | -70.3287     | -0.6616         | -0.8720       |
| 0.6495        | 0.5004 | 160  | 0.6611          | -0.0187        | -0.0942          | 0.6532             | 0.0756          | -47.9787       | -70.7297     | -0.6609         | -0.8713       |
| 0.6525        | 0.6255 | 200  | 0.6594          | -0.0073        | -0.0880          | 0.6532             | 0.0807          | -47.9164       | -70.6164     | -0.6606         | -0.8711       |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.2
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1