flan-t5-small-samsum

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

• Loss: 1.6084
• Rouge1: 44.1542
• Rouge2: 19.8954
• Rougel: 36.576
• Rougelsum: 40.1511
• Gen Len: 16.7875

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: 2
• eval_batch_size: 2
• 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
1.7821	1.0	7366	1.6311	43.0516	18.9698	35.8	39.4369	16.9560
1.6646	2.0	14732	1.6093	43.3108	18.9854	35.7539	39.4436	16.8913
1.6213	3.0	22098	1.6084	44.1542	19.8954	36.576	40.1511	16.7875

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2