flan-t5-base-samsum

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

• Loss: 1.3868
• Rouge1: 47.2691
• Rouge2: 23.6137
• Rougel: 39.7827
• Rougelsum: 43.4916
• Gen Len: 17.1758

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.4686	1.0	921	1.3909	46.6849	23.039	39.0997	43.034	17.1062
1.404	2.0	1842	1.3868	47.2691	23.6137	39.7827	43.4916	17.1758
1.3736	3.0	2763	1.3845	47.0333	23.4655	39.5677	43.3879	17.2222

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.0
• Tokenizers 0.13.3