Mistral-7B-v0.1-chat-nl

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the Rijgersberg/no_robots_nl and Rijgersberg/ultrachat_10k_nl datasets. It achieves the following results on the evaluation set:

• Loss: 1.0263

Model description

In order to investigate the effect of pretraining Rijgersberg/GEITje-7B on the finetuning of Rijgersberg/GEITje-7B-chat, I also subjected the base model Mistral 7B v0.1 to the exact same training. This model is called Mistral-7B-v0.1-chat-nl.

More info

Read more about GEITje and GEITje-chat in the 📄 README on GitHub.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Framework versions

• Transformers 4.36.0.dev0
• Pytorch 2.1.1+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0