t5-small-finetuned-wikisql

e22vvb/t5-small-finetuned-wikisql

t5-small-finetuned-wikisql is a machine learning model from e22vvb. 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: mt5
Access: Public
Created: Aug 25, 2023
Updated: Nov 16, 2023
SHA: 4a198205

Datasets

wikisql

Model card

From the Hugging Face model README

t5-small-finetuned-wikisql

This model is a fine-tuned version of google/mt5-base on the wikisql dataset. It achieves the following results on the evaluation set:

Loss: 0.0907
Rouge2 Precision: 0.8557
Rouge2 Recall: 0.7786
Rouge2 Fmeasure: 0.8095

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
0.156	1.0	4049	0.1163	0.8283	0.7535	0.7832
0.1218	2.0	8098	0.1007	0.8453	0.7681	0.799
0.1056	3.0	12147	0.0944	0.8522	0.7749	0.8059
0.0967	4.0	16196	0.0921	0.8553	0.7784	0.8093
0.0935	5.0	20245	0.0907	0.8557	0.7786	0.8095

Framework versions

Transformers 4.26.1
Pytorch 2.0.1+cu117
Datasets 2.14.7.dev0
Tokenizers 0.13.3

Library: transformers
Type: mt5
License: apache-2.0
Created: Aug 25, 2023
Updated: Nov 16, 2023