t5-small-finetuned-wikisql – AI Model by HueyAnthonyDisward | AlphaNeural AI

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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 the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0450
Model Preparation Time: 0.003
Rouge2 Fmeasure: 0.802

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Rouge2 Fmeasure
0.099	1.0	4420	0.0659	0.003	0.7932
0.0779	2.0	8840	0.0533	0.003	0.7976
0.0675	3.0	13260	0.0482	0.003	0.7998
0.0599	4.0	17680	0.0459	0.003	0.8013
0.062	5.0	22100	0.0450	0.003	0.802

Framework versions

Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2