T5-Small-Sinhala-Sumarization-base – AI Model by Navanjana | AlphaNeural AI

You can deploy this model and start earning money today!

Navanjana/
T5-Small-Sinhala-Sumarization-base

like

0

text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

Views

No views yet

T5-Small-Sinhala-Sumarization-test3

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 5.1131
Rouge1: 0.0507
Rouge2: 0.0123
Rougel: 0.0494
Rougelsum: 0.0492
Gen Len: 19.0

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
5.9823	1.0	600	5.3762	0.0259	0.0043	0.025	0.0248	19.0
5.5041	2.0	1200	5.2242	0.0356	0.0089	0.0352	0.0353	19.0
5.4129	3.0	1800	5.1601	0.0469	0.0104	0.0457	0.0457	19.0
5.3062	4.0	2400	5.1225	0.049	0.0119	0.0476	0.0475	19.0
5.2787	5.0	3000	5.1131	0.0507	0.0123	0.0494	0.0492	19.0

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1