Enum SimCSEType

Namespace

AiDotNet.Enums

Assembly

AiDotNet.dll

Defines the training paradigms for SimCSE (Simple Contrastive Learning of Sentence Embeddings).

public enum SimCSEType

Fields

Supervised = 1

Supervised learning using Natural Language Inference (NLI) datasets.

Unsupervised = 0

Unsupervised learning using dropout as noise.

Remarks

SimCSE supports two primary modes:

• Unsupervised: Uses dropout masks on identical sentence pairs as a minimal data augmentation.
• Supervised: Uses labeled entailment and contradiction pairs from datasets like SNLI or MultiNLI.

For Beginners: Think of this as the "learning style" of the model. - Unsupervised is like a student learning by comparing different versions of the same book. - Supervised is like a student learning from a teacher who provides "true" and "false" examples.