Model Card for qwen2-2b-instruct-trl-sft-britishmeusium

This model is a fine-tuned version of Qwen/Qwen2-VL-2B-Instruct. It has been trained using TRL. It seamlessly processes both image and text inputs to generate concise, factual responses about artifact details and related historical context.

Training procedure

This model was trained with SFT.

Framework versions

• TRL: 0.17.0.dev0
• Transformers: 4.51.0.dev0
• Pytorch: 2.4.1+cu121
• Datasets: 3.5.0
• Tokenizers: 0.21.0

Citations

Cite TRL as:

@misc{vonwerra2022trl,
    title        = {{TRL: Transformer Reinforcement Learning}},
    author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}