EN_t5-base_15_spider

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

• Loss: 0.2692
• Rouge2 Precision: 0.6128
• Rouge2 Recall: 0.3948
• Rouge2 Fmeasure: 0.4517

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: 30
• 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	234	0.2675	0.4828	0.3113	0.3529
No log	2.0	468	0.2426	0.5265	0.3444	0.3904
0.4735	3.0	702	0.2384	0.5486	0.3481	0.3988
0.4735	4.0	936	0.2388	0.5846	0.3787	0.4324
0.1397	5.0	1170	0.2407	0.5789	0.3672	0.4212
0.1397	6.0	1404	0.2429	0.5976	0.3835	0.4391
0.1028	7.0	1638	0.2489	0.587	0.3779	0.4317
0.1028	8.0	1872	0.2534	0.602	0.3897	0.4448
0.0837	9.0	2106	0.2576	0.5971	0.3838	0.4394
0.0837	10.0	2340	0.2555	0.6024	0.3848	0.4412
0.0712	11.0	2574	0.2638	0.6106	0.3894	0.4469
0.0712	12.0	2808	0.2680	0.6061	0.3874	0.4444
0.0649	13.0	3042	0.2667	0.6114	0.3924	0.4498
0.0649	14.0	3276	0.2683	0.6117	0.3934	0.4504
0.0614	15.0	3510	0.2692	0.6128	0.3948	0.4517

Framework versions

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