---
base_model: mistralai/Mixtral-8x22B-v0.1
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- maxidl/distilabel-capybara-dpo-7k-binarized_en_de
model-index:
- name: Mixtral-8x7B-orpo-en-de
  results: []
---

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# Mixtral-8x7B-orpo-en-de

This model is a fine-tuned version of [mistralai/Mixtral-8x22B-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-v0.1) on the maxidl/distilabel-capybara-dpo-7k-binarized_en_de dataset.

## 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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 32
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2