text-to-sparql-t5-small-2021-10-17_18-47

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

• Loss: 0.5258
• Gen Len: 19.0
• P: 0.4582
• R: 0.0278
• F1: 0.2346
• Score: 3.5848
• Bleu-precisions: [82.57739877107295, 62.13358857503344, 48.43062944877681, 41.90172321318059]
• Bleu-bp: 0.0631

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Gen Len	P	R	F1	Score	Bleu-precisions	Bleu-bp
0.7575	1.0	4807	0.5258	19.0	0.4582	0.0278	0.2346	3.5848	[82.57739877107295, 62.13358857503344, 48.43062944877681, 41.90172321318059]	0.0631

Framework versions

• Transformers 4.10.0
• Pytorch 1.9.0+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3