ransformer-model)
  * [ Loss Overview ](docs/training/loss_overview.html)
    * [ Loss modifiers ](docs/training/loss_overview.html#loss-modifiers)
    * [ Distillation ](docs/training/loss_overview.html#distillation)
    * [ Commonly used Loss Functions ](docs/training/loss_overview.html#commonly-used-loss-functions)
  * [ Matryoshka Embeddings ](examples/training/matryoshka/README.html)
    * [ Use Cases ](examples/training/matryoshka/README.html#use-cases)
    * [ Results ](examples/training/matryoshka/README.html#results)
    * [ Training ](examples/training/matryoshka/README.html#training)
    * [ Inference ](examples/training/matryoshka/README.html#inference)
    * [ Code Examples ](examples/training/matryoshka/README.html#code-examples)
  * [ Adaptive Layers ](examples/training/adaptive_layer/README.html)
    * [ Use Cases ](examples/training/adaptive_layer/README.html#use-cases)
    * [ Results ](examples/training/adaptive_layer/README.html#results)
    * [ Training ](examples/training/adaptive_layer/README.html#training)
    * [ Inference ](examples/training/adaptive_layer/README.html#inference)
    * [ Code Examples ](examples/training/adaptive_layer/README.html#code-examples)
  * [ Multilingual-Models ](examples/training/multilingual/README.html)
    * [ Available Pre-trained Models ](examples/training/multilingual/README.html#available-pre-trained-models)
    * [ Usage ](examples/training/multilingual/README.html#usage)
    * [ Performance ](examples/training/multilingual/README.html#performance)
    * [ Extend your own models ](examples/training/multilingual/README.html#extend-your-own-models)
    * [ Training ](examples/training/multilingual/README.html#training)
    * [ Data Format ](examples/training/multilingual/README.html#data-format)
    * [ Loading Training Datasets ](examples/training/multilingual/README.html#loading-training-datasets)
    * [ Sources for Training Data ](examples/training/multilingual/README.html#sources-for-training-data)
    * [ Evaluation ](examples/training/multilingual/README.html#evaluation)
    * [ Citation ](examples/training/multilingual/README.html#citation)
  * [ Model Distillation ](examples/training/distillation/README.html)
    * [ Knowledge Distillation ](examples/training/distillation/README.html#knowledge-distillation)
    * [ Speed - Performance Trade-Off ](examples/training/distillation/README.html#speed-performance-trade-off)
    * [ Dimensionality Reduction ](examples/training/distillation/README.html#dimensionality-reduction)
    * [ Quantization ](examples/training/distillation/README.html#quantization)
  * [ Cross-Encoders ](examples/training/cross-encoder/README.html)
    * [ Examples ](examples/training/cross-encoder/README.html#examples)
    * [ Training CrossEncoders ](examples/training/cross-encoder/README.html#training-crossencoders)
  * [ Augmented SBERT ](examples/training/data_augmentation/README.html)
    * [ Motivation ](examples/training/data_augmentation/README.html#motivation)
    * [ Extend to your own datasets ](examples/training/data_augmentation/README.html#extend-to-your-own-datasets)
    * [ Methodology ](examples/training/data_augmentation/README.html#methodology)
    * [ Scenario 1: Limited or small annotated datasets (few labeled sentence-pairs) ](examples/training/data_augmentation/README.html#scenario-1-limited-or-small-annotated-datasets-few-labeled-sentence-pairs)
    * [ Scenario 2: No annotated datasets (Only unlabeled sentence-pairs) ](examples/training/data_augmentation/README.html#scenario-2-no-annotated-datasets-only-unlabeled-sentence-pairs)
    * [ Training ](examples/training/data_augmentation/README.html#training)
    * [ Citation ](examples/training/data_augmentation/README.html#citation)
  * [ Training Datasets ](examples/training/datasets/README.html)
    * [ Datasets on the Hugging Face Hub ](examples/training/datasets/README.html#datasets-on-the-hugging-face-hub)

Training Examples

  * [ Semantic Textual Similarity ](examp