flan-t5-small-samsum

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

• Loss: 1.6754
• Rouge1: 42.7055
• Rouge2: 18.3564
• Rougel: 35.2909
• Rougelsum: 38.9643
• Gen Len: 16.8474

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: 52
• eval_batch_size: 52
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.8824	0.35	100	1.7015	42.5036	18.333	35.1513	38.8251	16.6532
1.8578	0.7	200	1.6878	42.0047	18.2467	35.0002	38.5021	16.7216
1.835	1.06	300	1.6823	42.7828	18.6243	35.4419	38.9984	16.9048
1.8144	1.41	400	1.6786	42.6579	18.3971	35.3512	38.9118	16.6618
1.8094	1.76	500	1.6754	42.7055	18.3564	35.2909	38.9643	16.8474

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.0
• Datasets 2.15.0
• Tokenizers 0.15.0