t5-small-finetuned-wikisql – AI Model by Calam1 | 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: 0.1246
Rouge2 Precision: 0.8182
Rouge2 Recall: 0.7261
Rouge2 Fmeasure: 0.7623

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
0.1953	1.0	4049	0.1574	0.7939	0.7035	0.739
0.1644	2.0	8098	0.1375	0.8082	0.7167	0.7527
0.1517	3.0	12147	0.1296	0.8141	0.7223	0.7584
0.146	4.0	16196	0.1256	0.817	0.7253	0.7613
0.1413	5.0	20245	0.1246	0.8182	0.7261	0.7623

Framework versions

Transformers 4.26.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3