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