---
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_5ep
  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_5ep

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: 0.2423
- Rewards/chosen: -0.5640
- Rewards/rejected: -4.3641
- Rewards/accuracies: 0.8557
- Rewards/margins: 3.8002
- Logps/rejected: -417.8773
- Logps/chosen: -434.6749
- Logits/rejected: 0.0188
- Logits/chosen: 0.1716

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4274        | 1.0   | 103  | 0.3324          | 0.2097         | -1.9397          | 0.7932             | 2.1493          | -393.6328      | -426.9386    | -0.3230         | -0.0880       |
| 0.1309        | 2.0   | 206  | 0.2679          | 0.0296         | -2.9700          | 0.8482             | 2.9997          | -403.9364      | -428.7391    | -0.1288         | 0.0588        |
| 0.0376        | 3.0   | 309  | 0.2491          | -0.4817        | -4.1509          | 0.8452             | 3.6692          | -415.7445      | -433.8520    | -0.0034         | 0.1539        |
| 0.0158        | 4.0   | 412  | 0.2450          | -0.5678        | -4.3787          | 0.8557             | 3.8110          | -418.0231      | -434.7127    | 0.0183          | 0.1715        |
| 0.0129        | 5.0   | 515  | 0.2423          | -0.5640        | -4.3641          | 0.8557             | 3.8002          | -417.8773      | -434.6749    | 0.0188          | 0.1716        |


### Framework versions

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