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text-to-sparql-t5-base-2024-09-01_11-28

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

  • Loss: 0.1292
  • Gen Len: 19.0
  • Bertscorer-p: 0.6002
  • Bertscorer-r: 0.1065
  • Bertscorer-f1: 0.3419
  • Sacrebleu-score: 6.1640
  • Sacrebleu-precisions: [92.31534063748829, 84.93160766667017, 79.6643621245387, 75.5827850229174]
  • Bleu-bp: 0.0744

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 Bertscorer-p Bertscorer-r Bertscorer-f1 Sacrebleu-score Sacrebleu-precisions Bleu-bp
0.1458 1.0 4772 0.1292 19.0 0.6002 0.1065 0.3419 6.1640 [92.31534063748829, 84.93160766667017, 79.6643621245387, 75.5827850229174] 0.0744

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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