GEC-T5-small

danangwijaya/GEC-T5-small

GEC-T5-small is a machine learning model from danangwijaya. 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. --

Downloads · 30 days

28% of all-time downloads

All-time downloads

Public

Parameters

60.5M

485 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors242 MB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Feb 2, 2024
Updated: Feb 2, 2024
SHA: 576b0917

Base models

Model card

From the Hugging Face model README

GEC-T5-small

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

Loss: 1.6816

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	325	1.8041
1.908	2.0	650	1.7697
1.908	3.0	975	1.7359
1.8218	4.0	1300	1.7228
1.7942	5.0	1625	1.7061
1.7942	6.0	1950	1.6981
1.7497	7.0	2275	1.6910
1.7379	8.0	2600	1.6848
1.7379	9.0	2925	1.6828
1.7165	10.0	3250	1.6816

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Library: transformers
Type: t5
License: apache-2.0
Created: Feb 2, 2024
Updated: Feb 2, 2024