EN_mrm8488_spider

This model is a fine-tuned version of mrm8488/t5-small-finetuned-wikiSQL on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1002
• Rouge2 Precision: 0.0364
• Rouge2 Recall: 0.0288
• Rouge2 Fmeasure: 0.0266

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
No log	1.0	438	0.4103	0.3532	0.1547	0.194
0.9639	2.0	876	0.2544	0.189	0.086	0.1038
0.3388	3.0	1314	0.1954	0.1365	0.0641	0.0768
0.2255	4.0	1752	0.1614	0.0644	0.0377	0.0407
0.1673	5.0	2190	0.1412	0.0675	0.0443	0.0467
0.1356	6.0	2628	0.1344	0.0528	0.0361	0.0366
0.1148	7.0	3066	0.1255	0.0476	0.0333	0.0338
0.0998	8.0	3504	0.1167	0.0513	0.0389	0.0374
0.0998	9.0	3942	0.1107	0.0619	0.0447	0.0439
0.088	10.0	4380	0.1092	0.0529	0.0412	0.0384
0.0816	11.0	4818	0.1047	0.0478	0.0358	0.0334
0.0742	12.0	5256	0.1015	0.0386	0.0306	0.028
0.071	13.0	5694	0.1018	0.0384	0.0301	0.0281
0.0674	14.0	6132	0.1004	0.0344	0.0279	0.0256
0.0674	15.0	6570	0.1002	0.0364	0.0288	0.0266

Framework versions

• Transformers 4.26.1
• Pytorch 2.0.1+cu117
• Datasets 2.14.7.dev0
• Tokenizers 0.13.3