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