---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.3
model-index:
- name: Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_2ep
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_2ep

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3109
- Rewards/chosen: 0.7129
- Rewards/rejected: -1.3545
- Rewards/accuracies: 0.8795
- Rewards/margins: 2.0674
- Logps/rejected: -373.3019
- Logps/chosen: -422.7253
- Logits/rejected: -0.2832
- Logits/chosen: -0.1040

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4052        | 1.0   | 103  | 0.3249          | 0.5808         | -1.2724          | 0.8795             | 1.8532          | -372.4805      | -424.0459    | -0.3089         | -0.1139       |
| 0.1566        | 2.0   | 206  | 0.3109          | 0.7129         | -1.3545          | 0.8795             | 2.0674          | -373.3019      | -422.7253    | -0.2832         | -0.1040       |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1