t5-small-finetuned-xsum

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

• Loss: 0.1236
• Rouge1: 14.0749
• Rouge2: 4.3466
• Rougel: 14.0821
• Rougelsum: 14.0851
• Gen Len: 17.3883

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.1438	1.0	1833	0.1265	14.0996	4.3243	14.1043	14.1011	17.3871
0.1346	2.0	3666	0.1249	14.0652	4.348	14.0735	14.0794	17.3884
0.1343	3.0	5499	0.1236	14.0749	4.3466	14.0821	14.0851	17.3883

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0
• Datasets 2.14.5
• Tokenizers 0.14.1