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Today Unsupervised Sentence Transformers, Tomorrow Skynet - How TSDAE Works

James Briggs via YouTube

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Overview

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This course introduces unsupervised fine-tuning of sentence transformers with the Transformer-based Sequential Denoising Auto-Encoder (TSDAE) method. It demonstrates unlabeled data preparation, model initialization and training, and semantic similarity evaluation.

Syllabus

Why Language Embedding Matters
Supervised Methods
Natural Language Inference
Semantic Textual Similarity
Multilingual Training
TSDAE Unsupervised
Data Preparation
Initialize Model
Model Training
NLTK Error
Evaluation
TSDAE vs Supervised Methods
Why TSDAE is Cool

Taught by

James Briggs

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