indosum-pt-pl50-0

apwic/indosum-pt-pl50-0

indosum-pt-pl50-0 is a machine learning model from apwic. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

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Public

Updated Jul 22, 2024

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217 MB

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Hugging Face

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At a glance

License: apache-2.0
Access: Public
Created: Jul 21, 2024
Updated: Jul 22, 2024
SHA: e245a28c

Base models

LazarusNLP/IndoNanoT5-base

Model card

From the Hugging Face model README

indosum-pt-pl50-0

This model is a fine-tuned version of LazarusNLP/IndoNanoT5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1937
Rouge1: 67.2533
Rouge2: 57.3905
Rougel: 64.0732
Rougelsum: 66.2476
Gen Len: 97.596

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: 0.001
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.9265	1.0	892	1.8737	55.0839	40.3522	51.1983	53.7369	83.836
2.2409	2.0	1784	1.5733	61.4245	48.8132	57.8573	60.2997	97.0253
1.9661	3.0	2676	1.3583	63.476	51.6887	59.9726	62.3509	98.7573
1.7713	4.0	3568	1.2569	65.7891	54.9944	62.429	64.7377	98.7987
1.6308	5.0	4460	1.1937	66.4804	56.0803	63.1939	65.4418	100.6973

Framework versions

Transformers 4.40.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

License: apache-2.0
Languages: id
Created: Jul 21, 2024
Updated: Jul 22, 2024