t5-small-jfleg-grammar-correction

Jupp2/t5-small-jfleg-grammar-correction

t5-small-jfleg-grammar-correction is a machine learning model from Jupp2. 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: Nov 13, 2025
Updated: Nov 13, 2025
SHA: 2f15a6f0

Base models

Model card

From the Hugging Face model README

t5-small-jfleg-grammar-correction

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

Loss: 0.6426
Exact Match: 10.56
Rougel: 77.57

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	Rougel
1.2408	1.0	76	0.9163	7.95	71.1
0.9395	2.0	152	0.8600	11.26	76.12
0.8515	3.0	228	0.8248	11.26	76.4
0.8638	4.0	304	0.8094	11.26	76.64
0.8257	5.0	380	0.8075	11.26	76.66

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 13, 2025
Updated: Nov 13, 2025