sparql-qald9-t5-base-2021-10-19_00-15

This model is a fine-tuned version of yazdipour/text-to-sparql-t5-base-2021-10-18_16-15 on the None dataset.

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: 0.0003
• 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	Bleu-score	Bleu-precisions	Bleu-bp
No log	1.0	51	1.8998	19.0	0.3634	0.0387	0.1963	9.9428	[71.94645844952593, 49.30006086427267, 35.36503683858004, 28.145941921072225]	0.2294

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.0+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3