model_pre_tuning

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: 4.5662
• Rouge2 Precision: 0.1667
• Rouge2 Recall: 0.0625
• Rouge2 Fmeasure: 0.0909

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
No log	1.0	1	8.0427	0.0	0.0	0.0
No log	2.0	2	6.8858	0.0	0.0	0.0
No log	3.0	3	6.1174	0.1667	0.0625	0.0909
No log	4.0	4	5.6207	0.1667	0.0625	0.0909
No log	5.0	5	5.2732	0.1667	0.0625	0.0909
No log	6.0	6	5.0166	0.1667	0.0625	0.0909
No log	7.0	7	4.8271	0.1667	0.0625	0.0909
No log	8.0	8	4.6933	0.1667	0.0625	0.0909
No log	9.0	9	4.6080	0.1667	0.0625	0.0909
No log	10.0	10	4.5662	0.1667	0.0625	0.0909

Framework versions

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