t5-small-finetuned-wikisql

This model is a fine-tuned version of unicamp-dl/ptt5-base-t5-vocab on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.1636
• Rouge2 Precision: 0.0429
• Rouge2 Recall: 0.0139
• Rouge2 Fmeasure: 0.021

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
No log	1.0	2	10.5445	0.0429	0.0139	0.021
No log	2.0	4	7.0508	0.0429	0.0139	0.021
No log	3.0	6	5.0775	0.0429	0.0139	0.021
No log	4.0	8	3.9094	0.0429	0.0139	0.021
No log	5.0	10	3.1636	0.0429	0.0139	0.021

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.1+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2