train-sentence-transformers

What problem does it solve?

This Skill helps users train and fine-tune sentence-transformers models for a variety of tasks, including retrieval, similarity, clustering, classification, paraphrase mining, deduplication, and multimodal applications.

Core Features & Use Cases

• Model Training: Offers a comprehensive guide for training sentence-transformers models, including loss selection, hard-negative mining, evaluators, distillation, and Hugging Face Hub publishing.
• Model Selection: Provides instructions for selecting the appropriate model architecture for different tasks, such as retrieval, reranking, and sparse embeddings.
• Use Case: A researcher wants to train a sentence-transformers model for similarity detection. This Skill guides them through the process, including choosing the right model, loss function, and evaluation metrics.

Quick Start

To train a sentence-transformers model for similarity detection, run the following commands:

python train_sentence_transformer_example.py