AraBART-traffics-summarization-2 – AI Model by Amdalotaibi | AlphaNeural AI

You can deploy this model and start earning money today!

Amdalotaibi/
AraBART-traffics-summarization-2

like

0

text2text-generation

generated_from_trainer

moussaKam/AraBART

endpoints_compatible

Views

No views yet

AraBART-traffics-summarization

This model is a fine-tuned version of moussaKam/AraBART on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5301
Rouge1: 0.8041
Rouge2: 0.7628
Rougel: 0.8027
Rougelsum: 0.8035

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	326	0.5848	0.7780	0.7365	0.7773	0.7779
1.0582	2.0	652	0.5345	0.7951	0.7535	0.7942	0.7947
1.0582	3.0	978	0.5332	0.7964	0.7536	0.7955	0.7960
0.5142	4.0	1304	0.5217	0.8016	0.7579	0.8009	0.8015
0.3681	5.0	1630	0.5301	0.8041	0.7628	0.8027	0.8035

Framework versions

Transformers 4.44.2
Pytorch 2.1.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1