emozilla/flan-t5-xxl-sat-reading

This model is a fine-tuned version of google/flan-t5-xxl 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
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 8
• total_eval_batch_size: 8
• 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	38	0.2243

Framework versions

• Transformers 4.26.1
• Pytorch 1.12.1
• Datasets 2.9.0
• Tokenizers 0.13.2