huggingface/sentence-transformers
State-of-the-Art Embeddings, Retrieval, and Reranking
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문서
- Dataset OverviewIt is important that your dataset format matches your loss function (or that you choose a loss function that matches your dataset format). See Training Overview > Dataset Format to learn how to verif…docs/sentence_transformer/dataset_overview.md
- Loss OverviewLoss functions play a critical role in the performance of your fine-tuned model. Sadly, there is no "one size fits all" loss function. Ideally, this table should help narrow down your choice of loss…docs/sentence_transformer/loss_overview.md
- Pretrained ModelsThe following table provides an overview of a selection of our models. They have been extensively evaluated for their quality to embedded sentences (Performance Sentence Embeddings) and to embedded s…docs/sentence_transformer/pretrained_models.md
- Training OverviewFinetuning Sentence Transformer models often heavily improves the performance of the model on your use case, because each task requires a different notion of similarity. For example, given news artic…docs/sentence_transformer/training_overview.md