t5-base-sql-custom – AI Model by hmyunis | AlphaNeural AI

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hmyunis/
t5-base-sql-custom

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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t5-base-sql-custom

This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0206

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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 12
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.127	1.0	12	0.4791
0.5993	2.0	24	0.2455
0.4205	3.0	36	0.2101
0.2613	4.0	48	0.2629
0.1484	5.0	60	0.1656
0.1104	6.0	72	0.0559
0.0675	7.0	84	0.0630
0.0603	8.0	96	0.0460
0.0519	9.0	108	0.0522
0.0368	10.0	120	0.0468
0.02	11.0	132	0.0201
0.0325	12.0	144	0.0206

Framework versions

Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2