Reynaerde

Reynaerde 7B Chat

A conversational model for Dutch, based on Mistral v0.3 Instruct

This model is a fine-tuned version of ReBatch/Reynaerde-7B-Instruct on ReBatch/ultrafeedback_nl. This is a combination of a translation of the HuggingFaceH4/ultrafeedback_binarized dataset and the HQ samples from BramVanroy's translation.

Model description

This model is a Dutch chat model, originally developed from Mistral 7B v0.3 Instruct and further fine-tuned with QLoRA. It was first fine-tuned with SFT on a chat dataset and then with 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 QLoRa in bfloat16 with Flash Attention 2 on one A100 PCIe, using the DPO script from the alignment handbook on RunPod.

Evaluation results

The model was evaluated using scandeval. There are improvements in 4 out of 7 benchmarks compared to the Mistral-7B-v0.3-Instruct model on which it is based.

Model	conll_nl	dutch_social	scala_nl	squad_nl	wiki_lingua_nl	mmlu_nl	hellaswag_nl
Reynaerde-7B-Chat	56.40 / 38.13	10.83 / 27.67	20.02 / 55.40	53.56 / 65.29	68.13 / 20.85	32.50 / 49.10	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

Naming

This model is named after the Middle Dutch epic poem 'Van den vos Reynaerde'. Dating from around 1260, this epic by Flemish author Willem die Madocke maecte is often called 'the pinnacle of Gothic literature in the Netherlands'. The poem tells a version of the Reynard the Fox story, popular in Western Europe during the late Middle Ages

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-06
train_batch_size: 3
eval_batch_size: 8
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. The finetuning was done by Julien Van den Avenne.