t5-small-finetuned-wikisql-sql-nl-nl-sql

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1932
• Bleu: 41.8787
• Gen Len: 16.6251

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	Bleu	Gen Len
0.2655	1.0	8097	0.2252	39.7999	16.6893
0.2401	2.0	16194	0.2066	40.9456	16.6712
0.2236	3.0	24291	0.1985	41.3509	16.5884
0.2158	4.0	32388	0.1944	41.6988	16.6165
0.2122	5.0	40485	0.1932	41.8787	16.6251

Framework versions

• Transformers 4.18.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6