t5-small-finetuned-xsum-AB

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

• Loss: 2.8942
• Rouge1: 13.835
• Rouge2: 4.4916
• Rougel: 10.5998
• Rougelsum: 12.3225
• Gen Len: 19.0

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.9182	1.0	625	2.8942	13.835	4.4916	10.5998	12.3225	19.0

Framework versions

• Transformers 4.17.0
• Pytorch 1.13.0+cpu
• Datasets 2.6.1
• Tokenizers 0.13.1