TokenizerTestingMTSUFall2024SoftwareEngineering

This model is a fine-tuned version of google-t5/t5-small on the None dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.45.2
• Pytorch 1.13.0+cu117
• Datasets 3.0.1
• Tokenizers 0.20.1