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---
base_model: mistralai/Mistral-7B-v0.1
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- maxidl/instruct-en-de
model-index:
- name: Mistral-7B-v0.1-Instruct-sft-en-de
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-v0.1-Instruct-sft-en-de
A full finetune of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 128
- 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
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