indosum-pt-pl5-1

apwic/indosum-pt-pl5-1

indosum-pt-pl5-1 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 22, 2024
Updated: Jul 22, 2024
SHA: e4b3345f

Base models

LazarusNLP/IndoNanoT5-base

Model card

From the Hugging Face model README

indosum-pt-pl5-1

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: 1.7699
Rouge1: 51.7237
Rouge2: 30.6472
Rougel: 45.7369
Rougelsum: 49.7038
Gen Len: 97.3498

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
3.3389	1.0	892	2.3878	41.0873	18.0223	33.3918	38.3574	94.4633
2.9722	2.0	1784	2.1819	44.6005	22.0442	37.6859	42.2047	101.0441
2.7885	3.0	2676	1.9841	47.1857	25.1724	40.8527	44.8931	94.3178
2.6274	4.0	3568	1.8607	49.3734	27.6939	43.2037	47.044	91.7116
2.4853	5.0	4460	1.7699	51.7237	30.6472	45.7369	49.7038	97.3498

Framework versions

Transformers 4.40.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

License: apache-2.0
Created: Jul 22, 2024
Updated: Jul 22, 2024