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Text2SQL-Bilingual – AI Model by TeeA | AlphaNeural AI | AlphaNeural AI

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TeeA/
Text2SQL-Bilingual

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text2text-generation

generated_from_trainer

TeeA/T5-Text2SQL-Bilingual

text-generation-inference

endpoints_compatible

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Text2SQL-Bilingual

This model is a fine-tuned version of TeeA/T5-Text2SQL-Bilingual on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 11.0281
eval_rouge1: 0.2144
eval_rouge2: 0.0542
eval_rougeL: 0.2005
eval_rougeLsum: 0.2020
eval_runtime: 89.1307
eval_samples_per_second: 10.703
eval_steps_per_second: 2.681
step: 0

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: 2e-05
train_batch_size: 16
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2