Arabic-Triplet-Matryoshka-V2-Model

• This is a sentence-transformers model finetuned from aubmindlab/bert-base-arabertv02.

• It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

• This model is trained on 1M samples from the akhooli/arabic-triplets-1m-curated-sims-len dataset.

• Trained for 3 epochs, with final training loss of 0.718 (using MatryoshkaLoss).

## Citation

If you use the Arabic Matryoshka Embeddings Model, please cite it as follows:

@misc{nacar2024enhancingsemanticsimilarityunderstanding,
      title={Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning}, 
      author={Omer Nacar and Anis Koubaa},
      year={2024},
      eprint={2407.21139},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2407.21139}, 
}