t5-small-finetuned-wikisql – AI Model by Ali-Das | AlphaNeural AI | AlphaNeural AI

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Ali-Das/
t5-small-finetuned-wikisql

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text2text-generation

generated_from_trainer

google-t5/t5-small

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: 0.1029

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.1992	1.0	3523	0.1566
0.1688	2.0	7046	0.1350
0.1494	3.0	10569	0.1247
0.135	4.0	14092	0.1198
0.1257	5.0	17615	0.1140
0.1239	6.0	21138	0.1118
0.1179	7.0	24661	0.1087
0.1168	8.0	28184	0.1072
0.1104	9.0	31707	0.1066
0.1088	10.0	35230	0.1051
0.1087	11.0	38753	0.1040
0.1056	12.0	42276	0.1030
0.1002	13.0	45799	0.1031
0.1025	14.0	49322	0.1031
0.1011	15.0	52845	0.1029

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2