Training and Finetuning Embedding Models with Sentence Transformers v3

The post provides an update on the Sentence Transformers library and explains how to use it to train and finetune embedding models. It discusses the importance of finetuning and the components involved in training, such as datasets, loss functions, training arguments, evaluators, and the trainer itself.