t5-small-finetuned-wikisql

dinesht/t5-small-finetuned-wikisql

t5-small-finetuned-wikisql is a machine learning model from dinesht. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 5, 2023
Updated: Mar 5, 2023
SHA: c0e9b261

Datasets

wikisql

Model card

From the Hugging Face model README

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: 0.1266
Rouge2 Precision: 0.817
Rouge2 Recall: 0.7258
Rouge2 Fmeasure: 0.7616

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
0.2018	1.0	4049	0.1603	0.7905	0.7009	0.736
0.1677	2.0	8098	0.1414	0.8061	0.7147	0.7506
0.156	3.0	12147	0.1314	0.8127	0.722	0.7576
0.1469	4.0	16196	0.1280	0.8152	0.7238	0.7597
0.1433	5.0	20245	0.1266	0.817	0.7258	0.7616

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 5, 2023
Updated: Mar 5, 2023