GrammarCorrectionTransformer

Model Card for Model ID

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This is an English grammar correction model.

Model Details

Model Description

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• Developed by: Amin Rahmani
• Model type: T5
• Language(s) (NLP): English
• License: MIT

How to Get Started with the Model

from happytransformer import HappyTextToText

happy_tt = HappyTextToText("T5", ".\PATH TO MODEL")

from happytransformer import TTSettings

beam_settings = TTSettings(num_beams=8, min_length=1, max_length=100)

input_text_1 = "grammar: hi dear"

output_text_1 = happy_tt.generate_text(input_text_1, args=beam_settings) print(output_text_1.text)

[More Information Needed]

Training Hyperparameters

• Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

Speeds, Sizes, Times [optional]

validation loss: 0.04 learning rate: epochs: 3

Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

• Hardware Type: RTX 3090

Technical Specifications [optional]