summarization-lora-2

apwic/summarization-lora-2

summarization-lora-2 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. --

Downloads · 30 days

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Public

Updated Jul 4, 2024

Repo size

120 MB

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Public

Hugging Face

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At a glance

License: apache-2.0
Access: Public
Created: Jul 2, 2024
Updated: Jul 4, 2024
SHA: 258d58ce

Base models

LazarusNLP/IndoNanoT5-base

Model card

From the Hugging Face model README

summarization-lora-2

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: 0.4683
Rouge1: 0.3952
Rouge2: 0.0
Rougel: 0.3892
Rougelsum: 0.3933
Gen Len: 1.0

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: 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	Rougel	Rougelsum	Gen Len
0.7823	1.0	894	0.5092	0.6551	0.6537	0.6535	1.0
0.6005	2.0	1788	0.4769	0.6706	0.6693	0.6688	1.0
0.5564	3.0	2682	0.4768	0.6725	0.6709	0.6731	1.0
0.5269	4.0	3576	0.4667	0.6722	0.6726	0.6742	1.0
0.5061	5.0	4470	0.4683	0.6725	0.6711	0.6719	1.0

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 2, 2024
Updated: Jul 4, 2024