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FYP19/
t5-small-finetuned-sql2

Name: t5-small-finetuned-sql2
Availability: InStock

generated_from_trainer

wikisql

apache-2.0

text-generation-inference

endpoints_compatible

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t5-small-finetuned-sql2

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

Loss: 0.1238
Rouge2 Precision: 0.8201
Rouge2 Recall: 0.7282
Rouge2 Fmeasure: 0.7643

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.1923	1.0	4049	0.1548	0.7971	0.7063	0.7419
0.1623	2.0	8098	0.1362	0.8103	0.7185	0.7546
0.1495	3.0	12147	0.1290	0.816	0.7239	0.7601
0.1445	4.0	16196	0.1251	0.8181	0.7266	0.7625
0.1398	5.0	20245	0.1238	0.8201	0.7282	0.7643

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2

FYP19/t5-small-finetuned-sql2

t5-small-finetuned-sql2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

FYP19/
t5-small-finetuned-sql2