t5-small-finetuned-wikisql

HueyAnthonyDisward/t5-small-finetuned-wikisql

t5-small-finetuned-wikisql is a machine learning model from HueyAnthonyDisward. 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: Aug 6, 2025
Updated: Aug 6, 2025
SHA: 772a03c7

Base models

Model card

From the Hugging Face model README

t5-small-finetuned-wikisql

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0450
Model Preparation Time: 0.003
Rouge2 Fmeasure: 0.802

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Rouge2 Fmeasure
0.099	1.0	4420	0.0659	0.003	0.7932
0.0779	2.0	8840	0.0533	0.003	0.7976
0.0675	3.0	13260	0.0482	0.003	0.7998
0.0599	4.0	17680	0.0459	0.003	0.8013
0.062	5.0	22100	0.0450	0.003	0.802

Framework versions

Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2

Library: transformers
Type: t5
License: apache-2.0
Created: Aug 6, 2025
Updated: Aug 6, 2025