t5_small_samsum

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

• Loss: 1.7255
• Rouge1: 0.4282
• Rouge2: 0.2003
• Rougel: 0.36
• Rougelsum: 0.3596
• Gen Len: 16.7372

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: 3e-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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.9452	1.0	921	1.7726	0.4147	0.1901	0.3492	0.3493	16.4719
1.8952	2.0	1842	1.7498	0.4237	0.1971	0.3577	0.3577	16.4548
1.8703	3.0	2763	1.7323	0.4243	0.1968	0.3571	0.3566	16.7689
1.8579	4.0	3684	1.7310	0.4262	0.2012	0.3606	0.3604	16.7641
1.8525	5.0	4605	1.7255	0.4282	0.2003	0.36	0.3596	16.7372

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1