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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - wikisql
model-index:
  - name: EN_mt5-base_10_wikiSQL
    results: []

EN_mt5-base_10_wikiSQL

This model is a fine-tuned version of google/mt5-base on the wikisql dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0849
  • Rouge2 Precision: 0.864
  • Rouge2 Recall: 0.787
  • Rouge2 Fmeasure: 0.8178

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: 21
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Rouge2 Precision Rouge2 Recall Rouge2 Fmeasure
0.1677 1.0 3085 0.1224 0.8269 0.7506 0.7803
0.1287 2.0 6170 0.1028 0.8458 0.7673 0.7988
0.1086 3.0 9255 0.0959 0.8511 0.7727 0.8042
0.0965 4.0 12340 0.0900 0.8543 0.777 0.808
0.089 5.0 15425 0.0883 0.8575 0.7802 0.8111
0.0809 6.0 18510 0.0866 0.8606 0.7834 0.8143
0.0771 7.0 21595 0.0860 0.8625 0.7851 0.8161
0.0745 8.0 24680 0.0855 0.8633 0.7862 0.8171
0.0715 9.0 27765 0.0848 0.8641 0.7869 0.8178
0.0702 10.0 30850 0.0849 0.864 0.787 0.8178

Framework versions

  • Transformers 4.26.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.7.dev0
  • Tokenizers 0.13.3