emozilla / flan-t5-base-sat-reading

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Total runs: 17
24-hour runs: 0
7-day runs: 2
30-day runs: 7
Model's Last Updated: February 20 2023
text-generation

Introduction of flan-t5-base-sat-reading

Model Details of flan-t5-base-sat-reading

emozilla/flan-t5-base-sat-reading

This model is a fine-tuned version of google/flan-t5-base 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 0.5527
Framework versions
  • Transformers 4.26.1
  • Pytorch 1.12.1
  • Datasets 2.9.0
  • Tokenizers 0.13.2

Runs of emozilla flan-t5-base-sat-reading on huggingface.co

17
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3-day runs
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flan-t5-base-sat-reading is an open source model from GitHub that offers a free installation service, and any user can find flan-t5-base-sat-reading on GitHub to install. At the same time, huggingface.co provides the effect of flan-t5-base-sat-reading install, users can directly use flan-t5-base-sat-reading installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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