summarization-base-2 – AI Model by apwic | AlphaNeural AI

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apwic/
summarization-base-2

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text2text-generation

generated_from_trainer

LazarusNLP/IndoNanoT5-base

text-generation-inference

endpoints_compatible

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summarization-base-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: 0.6973
Rouge1: 0.3985
Rouge2: 0.0
Rougel: 0.3957
Rougelsum: 0.3995
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	Rouge2	Rougel	Rougelsum	Gen Len
1.21	1.0	894	0.7570	0.6899	0.0	0.6953	0.6878	1.0
0.6826	2.0	1788	0.6250	0.6779	0.0	0.6777	0.6768	1.0
0.4899	3.0	2682	0.5915	0.6825	0.0	0.681	0.6837	1.0
0.3413	4.0	3576	0.6194	0.7341	0.0	0.7341	0.7373	1.0
0.2044	5.0	4470	0.6973	0.6972	0.0	0.6971	0.6984	1.0

Framework versions

Transformers 4.40.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1