Checkpoints

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: 0.001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100

Training results

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.3.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.2