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text-to-sparql-t5-small-2021-10-18_12-12

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

  • Loss: 0.3284
  • Gen Len: 19.0
  • Bertscorer-p: 0.5420
  • Bertscorer-r: 0.0732
  • Bertscorer-f1: 0.2972
  • Sacrebleu-score: 4.8763
  • Sacrebleu-precisions: [87.2581084764241, 73.48869132519009, 64.19139944127409, 58.342420937840785]
  • Bleu-bp: 0.0697

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: 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 Bertscorer-p Bertscorer-r Bertscorer-f1 Sacrebleu-score Sacrebleu-precisions Bleu-bp
0.4209 1.0 4772 0.3284 19.0 0.5420 0.0732 0.2972 4.8763 [87.2581084764241, 73.48869132519009, 64.19139944127409, 58.342420937840785] 0.0697

Framework versions

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

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