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This model is a fine-tuned version of google/mt5-small on the vitext2sql dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7564
  • Bleu: 5.1741
  • Gen Len: 18.1829

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.9517 1.0 6831 0.8409 3.1104 16.164
0.7029 2.0 13662 0.7696 4.9487 18.153
0.6078 3.0 20493 0.7564 5.1741 18.1829

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.19.1
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Evaluation results