T5_base_filipino_news_summarization

isnekki/T5_base_filipino_news_summarization

T5_base_filipino_news_summarization is a machine learning model from isnekki. 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: May 20, 2023
Updated: May 20, 2023
SHA: bff62d48

Model card

From the Hugging Face model README

T5_base_filipino_news_summarization

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

Loss: 2.5688
Rouge1: 0.1647
Rouge2: 0.0732
Rougel: 0.1456
Rougelsum: 0.1457
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	79	2.7017	0.1687	0.0738	0.1484	0.1485	19.0
No log	2.0	158	2.6167	0.1685	0.076	0.1486	0.1485	19.0
No log	3.0	237	2.5787	0.167	0.0755	0.1478	0.1478	19.0
No log	4.0	316	2.5688	0.1647	0.0732	0.1456	0.1457	19.0

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: May 20, 2023
Updated: May 20, 2023