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  # flan-t5-xl-t2s
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- This model was trained from scratch on an unknown dataset.
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  ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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- ### Training hyperparameters
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- The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 64
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- - eval_batch_size: 64
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- - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - num_epochs: 3.0
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- ### Framework versions
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- - Transformers 4.26.0
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- - Pytorch 2.0.0+cu117
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- - Datasets 2.6.1
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- - Tokenizers 0.13.2
 
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  # flan-t5-xl-t2s
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  ## Model description
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+ This FLAN-T5-XL model converts a given English question, conditioned on a DB schema, to the corresponding input query. Input format:
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+ ```
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+ semantic parse: <question> | <db_id> | <schema_without_content>
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+ ```
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+ Where `<schema_without_content>` is of the form `<table1>: <col1>, <col2>, ... | <table2>: ...`. The output format is
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+ ```
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+ <db_id> | <query>
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+ ```
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+ This model is one of the baselines (FLAN-T5-XL) we compared to in our paper.