t5-small-finetuned-xsum

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

• Loss: 2.7967
• Rouge1: 23.0533
• Rouge2: 3.912
• Rougel: 17.8534
• Rougelsum: 17.8581
• Gen Len: 18.6878

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: 8
• eval_batch_size: 8
• 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
3.0574	1.0	1276	2.7967	23.0533	3.912	17.8534	17.8581	18.6878

Framework versions

• Transformers 4.10.2
• Pytorch 1.9.0+cu102
• Datasets 1.12.1
• Tokenizers 0.10.3