t5-small-summarization

This model is a fine-tuned version of t5-small (https://huggingface.co/t5-small) on the cnn_dailymail dataset. It achieves the following results on the evaluation set:

• Loss: 1.6477

Model description

The following hyperparameters were used during training:

• learning_rate: 0.0002
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.9195	1.0	718	1.6477

Framework versions

• Transformers 4.21.1
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1