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T5 Efficient Tiny Ff12000

Developed by google
T5-Efficient-TINY-FF12000 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 that prioritizes increasing model depth using a deep narrow strategy, based on the T5 model architecture, suitable for English NLP tasks.

Model Features

Deep Narrow Architecture
Prioritizes increasing model depth over width, providing better downstream task performance with the same parameter count
Efficient Pretraining
Pretrained on the C4 dataset for 524,288 steps using masked language modeling
Compact Model Size
Only 61.72M parameters, suitable for deployment in resource-constrained environments

Model Capabilities

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

Use Cases

Text Processing
Automatic Summarization
Automatically condenses long documents into concise summaries
Question Answering System
Answers questions based on given text
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