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flan-t5-base-sat-reading
emozilla/flan-t5-base-sat-reading
flan-t5-base-sat-reading is a machine learning model from emozilla. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Feb 17, 2023
- Updated
- Feb 20, 2023
- SHA
- 2fdc54ea
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Feb 17, 2023
- Updated
- Feb 20, 2023