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
- Downloads last month
- 3
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for maxidl/Mistral-7B-v0.1-Instruct-sft-en-de
Base model
mistralai/Mistral-7B-v0.1