t5-small-finetuned-wikisql – AI Model by iamcharanhu | AlphaNeural AI

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t5-small-finetuned-wikisql

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text2text-generation

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text-generation-inference

endpoints_compatible

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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: 0.1245
Rouge2 Precision: 0.8183
Rouge2 Recall: 0.7262
Rouge2 Fmeasure: 0.7625

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
0.1954	1.0	4049	0.1575	0.7935	0.7032	0.7386
0.1643	2.0	8098	0.1374	0.8084	0.7168	0.7528
0.1517	3.0	12147	0.1296	0.8136	0.7221	0.7581
0.1459	4.0	16196	0.1256	0.817	0.7254	0.7614
0.1414	5.0	20245	0.1245	0.8183	0.7262	0.7625

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2