You can deploy this model and start earning money today!

FYP19/
t5-small-finetuned-sql4

Name: t5-small-finetuned-sql4
Availability: InStock

transformers

pytorch

text2text-generation

generated_from_trainer

apache-2.0

text-generation-inference

endpoints_compatible

Views

No views yet

t5-small-finetuned-sql4

This model is a fine-tuned version of FYP19/t5-small-finetuned-wikisql on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0774
Rouge2 Precision: 0.8024
Rouge2 Recall: 0.4538
Rouge2 Fmeasure: 0.5209

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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.0234	1.0	916	0.0730	0.7371	0.4098	0.4685
0.0131	2.0	1832	0.0719	0.7761	0.4279	0.4938
0.0132	3.0	2748	0.0708	0.7866	0.4427	0.5079
0.0098	4.0	3664	0.0743	0.7732	0.4353	0.4988
0.0069	5.0	4580	0.0774	0.8024	0.4538	0.5209

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

FYP19/t5-small-finetuned-sql4

t5-small-finetuned-sql4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

FYP19/
t5-small-finetuned-sql4