t5-sql-finetuned – AI Model by hmyunis | AlphaNeural AI

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hmyunis/
t5-sql-finetuned

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-sql-finetuned

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

Loss: 0.0881

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: 0.0002
train_batch_size: 8
eval_batch_size: 8
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: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	6	3.4236
No log	2.0	12	0.7095
No log	3.0	18	0.5616
No log	4.0	24	0.4715
No log	5.0	30	0.3465
No log	6.0	36	0.2659
No log	7.0	42	0.2152
No log	8.0	48	0.1879
No log	9.0	54	0.1568
No log	10.0	60	0.1361
No log	11.0	66	0.1191
No log	12.0	72	0.1048
No log	13.0	78	0.0933
No log	14.0	84	0.0892
No log	15.0	90	0.0881

Framework versions

Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2