t5-small-finetuned-wikisql

This model is a fine-tuned version of juierror/flan-t5-text2sql-with-schema-v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 38.2089
• Rouge2 Precision: 0.8571
• Rouge2 Recall: 0.6
• Rouge2 Fmeasure: 0.7059

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
No log	1.0	1	55.5586	0.8571	0.6	0.7059
No log	2.0	2	47.2978	0.8571	0.6	0.7059
No log	3.0	3	42.3317	0.8571	0.6	0.7059
No log	4.0	4	39.5028	0.8571	0.6	0.7059
No log	5.0	5	38.2089	0.8571	0.6	0.7059

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 2.0.0+cu117
• Datasets 2.10.1
• Tokenizers 0.12.1