---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.3
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- ReBatch/ultrachat_400k_nl
- BramVanroy/stackoverflow-chat-dutch
- vandeju/no_robots_dutch
model-index:
- name: Reynaerde-7B-Instruct
  results: []
---

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# Reynaerde-7B-v3

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3-Instruct](https://huggingface.co/mistralai/Mistral-7B-v0.3-Instruct) on the [ReBatch/ultrachat_400k_nl](https://huggingface.co/datasets/ReBatch/ultrachat_400k_nl), the [BramVanroy/stackoverflow-chat-dutch](https://huggingface.co/datasets/BramVanroy/stackoverflow-chat-dutch) and the [BramVanroy/no_robots_dutch](https://huggingface.co/datasets/BramVanroy/no_robots_dutch) datasets.


## Model description

This model is a Dutch chat model, originally developed from Mistral 7B v0.3 Instruct and further finetuned first with SFT on multiple datasets.

## Intended uses & limitations

The model could generate wrong, misleading, and potentially even offensive content. Use at your own risk.
Use with mistrals chat template.

## Training and evaluation data

It achieves the following results on the evaluation set:
- Loss: 0.8596

## Training procedure

This model was trained with QLoRa in bfloat16 with Flash Attention 2 on one A100 PCIe, using the sft script from the [alignment handbook](https://github.com/huggingface/alignment-handbook/) on [RunPod](https://www.runpod.io/).

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 3
- eval_batch_size: 6
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.2.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1

### Model Developer

The Mistral-7B-v0.3-Instruct model, on which this model is based, was created by [Mistral AI](https://huggingface.co/mistralai).
The finetuning was done by [Julien Van den Avenne](https://huggingface.co/vandeju).