Model: prashgec/clip-title-thumbnail-embeddings
Author: prashgec
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, clip, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:70, loss:MultipleNegativesRankingLoss, dataset:prashgec/my-learning-ds, arxiv:1908.10084, arxiv:1705.00652, base_model:sentence-transformers/clip-ViT-L-14, base_model:finetune:sentence-transformers/clip-ViT-L-14, model-index, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/clip-ViT-L-14
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:70, loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/clip-ViT-L-14
widget: source_sentence: How to Manage Data Science Projects
sentences: Fine-Tuning Text Embeddings For Domain-specific Search (w/ Python), I Was Wrong About AI Consulting (what I learned), What Nature Can Teach Us About Business..., source_sentence: 4 Ways to Measure Fat Tails with Python (+ Example Code)
sentences: How I’d Learn AI in 2025 (if I could start over), A Practical Introduction to Large Language Models (LLMs), Fine-tuning Large Language Models (LLMs) | w/ Example Code, source_sentence: Dimensionality Reduction & Segmentation with Decision Trees | Python Code
sentences: 5 AI Projects For People in a Hurry (w/ Python), How to Improve LLMs with RAG (Overview + Python Code), How to Build an LLM from Scratch | An Overview, source_sentence: What Is Data Science & How To Start? | A Beginner's Guide
sentences: 3 AI Use Cases (that are not a chatbot), The OpenAI (Python) API | Introduction & Example Code, Time Series, Signals, & the Fourier Transform | Introduction, source_sentence: 5 Questions Every Data Scientist Should Hardcode into Their Brain
sentences: How to Improve LLMs with Tools (ft. OpenAI Agents SDK), ML Foundations for AI Engineers (in 34 Minutes), Causality: An Introduction | How (naive) statistics can fail us
datasets: prashgec/my-learning-ds
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy
model-index: name: SentenceTransformer based on sentence-transformers/clip-ViT-L-14
results: task: type: triplet
name: Triplet
dataset: name: yt title thumbnail train
type: yt-title-thumbnail-train
metrics: type: cosine_accuracy
value: 1
name: Cosine Accuracy
verified: no, task: type: triplet
name: Triplet
dataset: name: yt title thumbnail valid
type: yt-title-thumbnail-valid
metrics: type: cosine_accuracy
value: 0.8666666746139526
name: Cosine Accuracy
verified: no
Likes: 0 | All-time downloads: 27
Created: 2025-07-22 10:23:27