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T5 Efficient Base Ff6000

Developed by google
T5-Efficient-BASE-FF6000 is a variant of Google's original T5, adopting a deep narrow architecture that demonstrates superior downstream task performance among models with similar parameter counts.
Downloads 16
Release Time : 3/2/2022

Model Overview

This is a pretrained-only checkpoint based on the T5 model architecture, utilizing a deep narrow design strategy that prioritizes increasing model depth for enhanced efficiency.

Model Features

Deep Narrow Architecture
Prioritizes increasing model depth over width, delivering better downstream task performance with the same parameter count
Efficient Pretraining
Pretrained on the Colossal Cleaned Common Crawl (C4) dataset using masked language modeling objectives with spans
Parameter Optimization
Feed-forward network dimension set to 6000, larger than the standard T5-base's 3072

Model Capabilities

Text generation
Text summarization
Question answering systems
Text classification (requires fine-tuning)

Use Cases

Text generation
Content summarization
Generates concise summaries from long documents
Question answering systems
Open-domain QA
Answers questions based on given text
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