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t5-base-2-lora

This model is a fine-tuned version of cssupport/t5-small-awesome-text-to-sql on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5747

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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.7227 1.0 3750 1.6501
1.5207 2.0 7500 1.5747

Framework versions

  • PEFT 0.12.0
  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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