t5-small-finetuned-news

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

• Loss: 1.9959
• Rouge1: 0.3606
• Rouge2: 0.1649
• Rougel: 0.2945
• Rougelsum: 0.2945
• Gen Len: 18.7588

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2911	1.0	510	2.0560	0.3537	0.1569	0.2881	0.2883	18.7647
2.1554	2.0	1020	2.0139	0.3558	0.1611	0.2915	0.2917	18.7304
2.1213	3.0	1530	2.0008	0.3596	0.1643	0.2931	0.2929	18.7431
2.1109	4.0	2040	1.9959	0.3606	0.1649	0.2945	0.2945	18.7588

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3