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This model is a fine-tuned version of google/flan-t5-large on the emozilla/sat-reading dataset.

Model description

This model was trained on the Reading section of several SAT Practice Tests. It scores better than the original pre-trained model while maintaining zero-shot task performance. For more information, see the blog post Language Models vs. The SAT Reading Test.

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: 1

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 298 0.4472

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.12.1
  • Datasets 2.9.0
  • Tokenizers 0.13.2
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Dataset used to train emozilla/flan-t5-large-sat-reading