t5-small-finetuned-wikiSQL – AI Model by abaldaniya29 | AlphaNeural AI

You can deploy this model and start earning money today!

abaldaniya29/
t5-small-finetuned-wikiSQL

like

0

text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

Views

No views yet

t5-small-finetuned-wikiSQL

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

Loss: 0.1110
Rouge2 Precision: 0.8308
Rouge2 Recall: 0.7395
Rouge2 Fmeasure: 0.7754

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.1975	1.0	4049	0.1602	0.7879	0.7007	0.7346
0.1643	2.0	8098	0.1371	0.8068	0.7163	0.7519
0.1501	3.0	12147	0.1280	0.8158	0.7246	0.7604
0.1403	4.0	16196	0.1216	0.8211	0.7304	0.7661
0.1317	5.0	20245	0.1176	0.8236	0.7323	0.7682
0.1267	6.0	24294	0.1150	0.8263	0.7343	0.7705
0.1271	7.0	28343	0.1133	0.8286	0.7371	0.7731
0.1199	8.0	32392	0.1121	0.8295	0.7384	0.7743
0.1167	9.0	36441	0.1111	0.8304	0.7391	0.775
0.1158	10.0	40490	0.1110	0.8308	0.7395	0.7754

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Tokenizers 0.13.1