Mistral-7B-v0.1-Instruct-sft-en-de

A full finetune of 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