---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
- nthakur/multilingual-truthy-v0.1-dpo-pairs
- nthakur/multilingual-orca-dpo-pairs
- nthakur/multilingual-mistral-neg-orca-dpo-pairs
model-index:
- name: mistral-7b-instruct-v0.2-dpo-multilingual-mix-1st-apr-final
  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-7b-instruct-v0.2-dpo-multilingual-mix-1st-apr-final

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the nthakur/multilingual-truthy-v0.1-dpo-pairs, the nthakur/multilingual-orca-dpo-pairs and the nthakur/multilingual-mistral-neg-orca-dpo-pairs datasets.
It achieves the following results on the evaluation set:
- Loss: 0.0524
- Rewards/chosen: -0.1806
- Rewards/rejected: -11.0616
- Rewards/accuracies: 0.9918
- Rewards/margins: 10.8811
- Logps/rejected: -1280.7075
- Logps/chosen: -363.8373
- Logits/rejected: -0.2239
- Logits/chosen: -0.5036

## 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: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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



### Framework versions

- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.2.2
- Datasets 2.14.6
- Tokenizers 0.15.2