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: 42.6945
• Rouge2: 18.3618
• Rougel: 35.2788
• Rougelsum: 38.882
• 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	42.4473	18.3181	35.1241	38.7812	16.6532
1.8578	0.7	200	1.6878	41.9935	18.2168	34.9802	38.4322	16.7216
1.835	1.06	300	1.6823	42.7527	18.6238	35.4172	38.9582	16.9048
1.8144	1.41	400	1.6786	42.6149	18.4073	35.3408	38.8646	16.6618
1.8094	1.76	500	1.6754	42.6945	18.3618	35.2788	38.882	16.8474

Framework versions

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