mT5_multilingual_XLSum-finetuned-indosum

GhifSmile/mT5_multilingual_XLSum-finetuned-indosum

mT5_multilingual_XLSum-finetuned-indosum is a machine learning model from GhifSmile. 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.

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

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At a glance

Library: transformers
Model type: mt5
Access: Public
Created: Oct 26, 2022
Updated: Oct 26, 2022
SHA: 22c481c8

Model card

From the Hugging Face model README

mT5_multilingual_XLSum-finetuned-indosum

This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5512
Rouge1: 0.3819
Rouge2: 0.3102
Rougel: 0.3529
Rougelsum: 0.3687

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adafactor
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.8183	1.0	7131	1.5512	0.3819	0.3102	0.3529	0.3687
1.8191	2.0	14262	1.5512	0.3819	0.3102	0.3529	0.3687
1.8197	3.0	21393	1.5512	0.3819	0.3102	0.3529	0.3687

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Library: transformers
Type: mt5
Created: Oct 26, 2022
Updated: Oct 26, 2022