T5 Small Lm Adapt
The T5 1.1 Language Model Adaptation is an improved version of the original T5 model, optimized for language modeling tasks and enhancing its application in prompt tuning.
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Release Time : 3/2/2022
Model Overview
This model is the small-scale version of T5 1.1, additionally trained for 100,000 steps with language modeling objectives, significantly improving its performance in prompt tuning.
Model Features
GEGLU Activation Function
Uses GEGLU activation function in feed-forward hidden layers instead of ReLU to enhance model performance.
Pretraining Optimization
Disables dropout during pretraining to improve quality and re-enables it during fine-tuning.
Parameter Adjustment
Removes parameter sharing between embedding and classifier layers and adjusts model structural parameters.
Dual Pretraining Objectives
Simultaneously pretrains for both denoising and language modeling objectives.
Model Capabilities
Text generation
Text classification
Question answering
Summarization
Use Cases
Natural Language Processing
Prompt Tuning
Quickly adapts to downstream tasks through prompt tuning.
Significantly enhances application capabilities in prompt tuning.
Text Generation
Generates coherent and contextually relevant text.
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