README.md

---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- dpo
---

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<img src="8.PNG" alt="Reynaerde" width="800" style="margin-left:'auto' margin-right:'auto'/>
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<div style="margin:auto; text-align:center">
<h1 style="margin-bottom: 0">Reynaerde 7B</h1>
<em>A conversational model for Dutch, based on Mistral v0.3</em>
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This model is a fine-tuned version of [ReBatch/Reynaerde-7B-Instruct](https://huggingface.co/ReBatch/Reynaerde-7B-Instruct) on a translation of the [HuggingFaceH4/ultrafeedback_binarized](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized) dataset combined with HQ samples from [BramVanroy's translation](https://huggingface.co/datasets/BramVanroy/ultra_feedback_dutch_cleaned). 
These are combined in [ReBatch/ultrafeedback_nl](https://huggingface.co/datasets/ReBatch/ultrafeedback_nl).


## Model description

This model is a Dutch chat model, originally developed from Mistral 7B v0.3 and further finetuned first with SFT on a chat dataset and then with a DPO on a feedback Chat dataset.


## Intended uses & limitations

This model could still generate wrong, misleading, and potentially even offensive content. Use at your own risk. 
Use with Mistral's chat template (can be found in the tokenizer)

## Training procedure


This model was trained with LoRa in bfloat16 with flash attention 2 on 8xA100 SXM with DeepSpeed ZeRO-3; with the DPO script from the [alignment handbook](https://github.com/huggingface/alignment-handbook/) on RunPod.

## Evaluation results

The model was evaluated using [scandeval](https://scandeval.com/dutch-nlg/). The only improvements are on the squad_nl benchmark which is a QA benchmark. This is not surprising since we only trained on chat data and not on other tasks.

| Model| conll_nl | dutch_social | scala_nl | squad_nl | wiki_lingua_nl | mmlu_nl | hellaswag_nl |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:
Reynaerde-7B-Chat-v2 | TODO / TODO | 10.83 / 27.67 | TODO / TODO | 53.56 / 65.29 | TODO / TODO | TODO / TODO |  31.36 / 47.79
Mistral-7B-v0.3 | 57.08 / 42.65 | 14.05 / 39.13 | 8.08 / 43.07 | 45.57 / 55.20 | 62.28 /  16.46 | 20.39 / 40.03 | 13.28 / 34.13
Mistral-7B-v0.3-Instruct | 60.76 / 45.39 | 13.20 / 34.26 | 23.23 / 59.26 | 48.94 / 60.13 | 66.09 / 18.02 | 24.95 / 43.67 | 24.86 / 43.57

## Model Developer

Finetuned by [Julien Van den Avenne](https://huggingface.co/vandeju)