t5-base-finetuned-wikisql

This model is a fine-tuned version of t5-base on the wikisql dataset. It achieves the following results on the evaluation set:

• Loss: 0.1079
• Rouge2 Precision: 0.8276
• Rouge2 Recall: 0.7361
• Rouge2 Fmeasure: 0.7721

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.1298	1.0	4049	0.1079	0.8276	0.7361	0.7721

Framework versions

• Transformers 4.27.3
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2