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sparql-qald9-t5-base-2021-10-19_23-02

This model is a fine-tuned version of yazdipour/text-to-sparql-t5-base-2021-10-19_15-35_lastDS 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 1.8300 19.0 0.3640 0.0346 0.1943 10.0358 [72.88988261598658, 50.27455765710799, 35.93015446608462, 28.454070201643017] 0.2281

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.14.0
  • Tokenizers 0.10.3
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