fnet-large-finetuned-cola-copy2 Open Source Text Classification Model - Free Deployment to Judge Grammatical Correctness

Fnet Large Finetuned Cola Copy2

Developed by gchhablani

A text classification model based on the FNet architecture, fine-tuned on the GLUE COLA dataset for grammatical correctness judgment

Text Classification

Transformers

EnglishOpen Source License:Apache-2.0 #Grammatical Acceptability Detection #English Text Classification #GLUE Fine-tuning

Downloads 15

Release Time : 3/2/2022

Model Overview

This model is a text classifier based on the FNet architecture, specifically fine-tuned for grammatical acceptability tasks to determine whether sentences conform to English grammar rules

Model Features

Based on FNet Architecture

Uses Fourier transform instead of traditional attention mechanisms to improve computational efficiency

Specialized for Syntax Analysis

Specifically optimized for grammatical acceptability tasks

Efficient Training

Optimizes training process using linear learning rate scheduling and warm-up strategies

Model Capabilities

Text Classification

Grammatical Correctness Judgment

Natural Language Processing

Use Cases

Educational Technology

Grammar Checking Tool

Used to detect grammatical errors in student writing

Content Moderation

Grammar Compliance Check

Automatically detects whether user-generated content complies with grammatical standards

Training Loss	Epoch	Step	Validation Loss
0.6192	1.0	2138	0.6443
0.6177	2.0	4276	0.6296
0.6128	3.0	6414	0.6173

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Fnet Large Finetuned Cola Copy2

Model Overview

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