t5-small-finetuned-wikisql – AI Model by FadwaTalks | AlphaNeural AI

You can deploy this model and start earning money today!

FadwaTalks/
t5-small-finetuned-wikisql

like

0

text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

Views

No views yet

t5-small-finetuned-wikisql

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

Loss: 0.1247
Model Preparation Time: 0.008
Rouge1: 0.8801
Rouge2: 0.7827
Rougel: 0.8666
Rougelsum: 0.8667

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Rouge1	Rouge2	Rougel	Rougelsum
0.1942	1.0	4049	0.1561	0.008	0.8709	0.7597	0.8545	0.8546
0.1646	2.0	8098	0.1373	0.008	0.8771	0.7745	0.8624	0.8625
0.147	3.0	12147	0.1297	0.008	0.8794	0.7796	0.8654	0.8655
0.1412	4.0	16196	0.1256	0.008	0.8795	0.782	0.866	0.8661
0.14	5.0	20245	0.1247	0.008	0.8801	0.7827	0.8666	0.8667

Framework versions

Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1