---
base_model: mistralai/Mixtral-8x7B-v0.1
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- maxidl/instruct-en-de
model-index:
- name: Mixtral-8x7B-v0.1-Instruct-sft-en-de
  results: []
---

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# Mixtral-8x7B-v0.1-Instruct-sft-en-de

A full finetune of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) using a mix of English and German instruction data.


## Dataset

|source|#examples|
|---|---|
teknium/OpenHermes-2.5     |1001551
maxidl/OpenOrca-gpt4-de     |119559
maxidl/MathInstruct-de       |56793
maxidl/Capybara-de           |15991
maxidl/math-prm-800k-de      |12298
maxidl/wikihow-de            |10103
maxidl/no_robots-de           |9500
maxidl/lima-de                |1030

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- 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: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 3

### Training results



### Framework versions

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