t5-finetuned-for-GEC

shashank2123/t5-finetuned-for-GEC

t5-finetuned-for-GEC is a machine learning model from shashank2123. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 2, 2022
Updated: Aug 5, 2021
SHA: 86f329d5

Model card

From the Hugging Face model README

t5-finetuned-for-GEC

This model is a fine-tuned version of t5-base on an unkown dataset. It achieves the following results on the evaluation set:

Loss: 0.3949
Bleu: 0.3571
Gen Len: 19.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.3958	1.0	4053	0.4236	0.3493	19.0
0.3488	2.0	8106	0.4076	0.3518	19.0
0.319	3.0	12159	0.3962	0.3523	19.0
0.3105	4.0	16212	0.3951	0.3567	19.0
0.3016	5.0	20265	0.3949	0.3571	19.0

Framework versions

Transformers 4.9.1
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 2, 2022
Updated: Aug 5, 2021