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Model: ReBatch/Reynaerde-7B-Instruct
Source: Original Platform

README.md

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+---
+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: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# 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).