t5-small-mlsum

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

• Loss: 2.6372
• Rouge1: 14.4732
• Rouge2: 6.6752
• Rougel: 13.4183
• Rougelsum: 13.8427
• 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: 5e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	13	2.7607	14.4395	6.4679	13.2562	13.6373	19.0
No log	2.0	26	2.7068	14.4214	6.4106	13.4536	13.7502	19.0
No log	3.0	39	2.6689	14.7941	6.5511	13.6862	14.1839	19.0
No log	4.0	52	2.6450	14.3539	6.6061	13.281	13.7636	19.0
No log	5.0	65	2.6372	14.4732	6.6752	13.4183	13.8427	19.0

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1