t5-small-finetuned-wikisql

bvenkatesh/t5-small-finetuned-wikisql

t5-small-finetuned-wikisql is a machine learning model from bvenkatesh. 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: Jan 2, 2023
Updated: Jan 9, 2023
SHA: 0b03f173

Model card

From the Hugging Face model README

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: 1.7557
Rouge2 Precision: 0.0052
Rouge2 Recall: 0.0036
Rouge2 Fmeasure: 0.0041

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
No log	1.0	7	2.7037	0.0087	0.009	0.0086
No log	2.0	14	1.9702	0.0037	0.0032	0.0031
No log	3.0	21	1.8608	0.004	0.0032	0.0033
No log	4.0	28	1.7833	0.0042	0.0032	0.0035
No log	5.0	35	1.7557	0.0052	0.0036	0.0041

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Jan 2, 2023
Updated: Jan 9, 2023