t5-small-finetuned-wikisql – AI Model by JayP22 | 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 an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1165
Rouge2 Precision: 0.8267
Rouge2 Recall: 0.7345
Rouge2 Fmeasure: 0.7706

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.2196	1.0	3569	0.1709	0.7843	0.6963	0.7307
0.1767	2.0	7138	0.1480	0.8031	0.7118	0.7477
0.1614	3.0	10707	0.1353	0.8115	0.72	0.7559
0.148	4.0	14276	0.1287	0.8165	0.7244	0.7604
0.1406	5.0	17845	0.1242	0.8207	0.7283	0.7646
0.1337	6.0	21414	0.1209	0.8238	0.7313	0.7676
0.1296	7.0	24983	0.1193	0.8252	0.7329	0.7691
0.1271	8.0	28552	0.1177	0.825	0.7329	0.7691
0.1222	9.0	32121	0.1167	0.8262	0.7341	0.7702
0.1229	10.0	35690	0.1165	0.8267	0.7345	0.7706

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2