t5-small-finetuned-wikisql

pedrogarcias/t5-small-finetuned-wikisql

t5-small-finetuned-wikisql is a machine learning model from pedrogarcias. 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 mit.

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

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At a glance

Library: transformers
License: mit
Model type: t5
Access: Public
Created: Jan 18, 2023
Updated: Jan 18, 2023
SHA: aa240520

Model card

From the Hugging Face model README

t5-small-finetuned-wikisql

This model is a fine-tuned version of unicamp-dl/ptt5-base-t5-vocab on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.1636
Rouge2 Precision: 0.0429
Rouge2 Recall: 0.0139
Rouge2 Fmeasure: 0.021

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
No log	1.0	2	10.5445	0.0429	0.0139	0.021
No log	2.0	4	7.0508	0.0429	0.0139	0.021
No log	3.0	6	5.0775	0.0429	0.0139	0.021
No log	4.0	8	3.9094	0.0429	0.0139	0.021
No log	5.0	10	3.1636	0.0429	0.0139	0.021

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: mit
Created: Jan 18, 2023
Updated: Jan 18, 2023