indosum-lora-0

apwic/indosum-lora-0

indosum-lora-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 20, 2024

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109 MB

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Hugging Face

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At a glance

License: apache-2.0
Access: Public
Created: Jul 20, 2024
Updated: Jul 20, 2024
SHA: 63031de1

Base models

LazarusNLP/IndoNanoT5-base

Model card

From the Hugging Face model README

indosum-lora-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: 0.4876
Rouge1: 73.5772
Rouge2: 66.7059
Rougel: 70.6615
Rougelsum: 72.7397
Gen Len: 102.9213

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
0.7749	1.0	892	0.5290	71.3679	64.0441	68.2584	70.462	103.084
0.5963	2.0	1784	0.5043	71.9204	64.8766	68.9265	71.053	105.9827
0.5524	3.0	2676	0.4928	72.0196	65.0022	69.1173	71.1808	103.2227
0.5236	4.0	3568	0.4948	72.454	65.5465	69.6508	71.6454	105.364
0.5017	5.0	4460	0.4876	73.194	66.308	70.335	72.3629	102.86

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 20, 2024
Updated: Jul 20, 2024