t5-small-finetuned-xsum

This model is a fine-tuned version of t5-small on the eli5 dataset. It achieves the following results on the evaluation set:

• Loss: 3.6744
• Rouge1: 13.2843
• Rouge2: 2.006
• Rougel: 10.6541
• Rougelsum: 12.0343
• Gen Len: 18.9984

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: 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	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.8822	1.0	17040	3.6744	13.2843	2.006	10.6541	12.0343	18.9984

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.1+cu113
• Datasets 2.5.1
• Tokenizers 0.12.1