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T5 Large Lm Adapt

Developed by google
The LM adapted version of T5 Version 1.1 is an improved text generation model based on the T5 architecture, further trained with language modeling objectives to enhance prompt tuning capabilities.
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Release Time : 3/2/2022

Model Overview

This model is an improved version of T5 Version 1.1, specifically adapted for language modeling objectives, suitable for various text generation and understanding tasks.

Model Features

GEGLU Activation Function
Uses GEGLU activation function in feed-forward hidden layers instead of ReLU to improve model performance.
No Dropout Pre-training
Dropout is disabled during pre-training to enhance quality and must be re-enabled during fine-tuning.
Pure C4 Dataset Pre-training
Pre-trained exclusively on the C4 dataset without mixing downstream task data to maintain training data purity.
Parameter Separation
No parameter sharing between embedding and classifier layers, enhancing model flexibility.
Improved Model Architecture
Adopts larger `d_model` and smaller `num_heads` and `d_ff` to optimize model performance.

Model Capabilities

Text generation
Text understanding
Question answering
Summarization
Text classification

Use Cases

Natural Language Processing
Prompt Tuning
With additional training on language modeling objectives, the model performs better in prompt tuning tasks.
Improved prompt tuning effectiveness
Text Generation
Suitable for generating coherent, contextually relevant text.
High-quality text generation
Question Answering
Can be used to build question answering systems that respond to text-based queries.
Accurate answers to user questions
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